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
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.
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 & Tennr. Former founders who've built and sold companies before this one.
How we work
We run on four values. Not aspirations — expectations.
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. We pause when direction is unclear — shipping the wrong thing fast is slower than getting it right.
Extreme ownership. Own the outcome, not just your tasks. Drive the result. Escalate when blocked. Accept the accountability.
Care. About your craft, your teammates, and the families depending on what you build. The discipline to give hard feedback, refuse to ship something broken, and notice when someone is struggling.
About the role
You own a portfolio of home care agencies from onboarding through scaled adoption — 10–15 accounts at different stages, simultaneously.
The difference between your accounts succeeding and stalling is whether someone is doing this job with urgency.
Most of your operators sit inside franchise networks — get one location live and you've learned how the whole network works. Do that across your portfolio and the domain expertise compounds fast.
Deployment is how Zingage builds its reputation. Every expansion, referral, and product decision traces back to what happened in the field. Strong performance here is the direct path to Enterprise DS. You'll report to Deployment/Product Leadership.
What you'll do
Take agencies from signed contract to live on Zingage's AI workflows — run the kickoff, coordinate configuration with engineering, train end users and managers, and hold the go-live date
Own the weekly working rhythm across every account — set agendas, track action items, and keep 10+ concurrent deployments moving without any of them stalling
Drive adoption past go-live: monitor health across your portfolio, identify where staff aren't using the workflow, and intervene before small problems become churn
Deliver QBRs and executive check-ins — results to agency leadership, next quarter's objectives, expansion opportunities
Triage first: resolve what you can, route what you can't to engineering, and protect engineering bandwidth
Build the playbook and feed the product: document what works, surface patterns across your portfolio, and translate recurring friction into feedback Product can act on
What we're looking for
Four things. In order.
Deployment execution. You've run onboardings end-to-end — held a go-live date, trained a frontline team, and driven an account through adoption. The workflow stuck because you ran the change management, not because you handed off a deck. You know how to get the messy truth out of a customer — what they tell you on the kickoff call and how the agency actually runs are rarely the same thing.
Portfolio management. Ten to fifteen accounts at different stages, and you know where each one stands before it tells you. You set the priority. You don't wait for the escalation.
Customer presence. You run a QBR with an agency owner, train a frontline coordinator, and handle an escalation in the same week. The customer never feels like they're managing you.
Pattern recognition. A broad portfolio teaches you things a single enterprise account never could. You notice when the same friction keeps appearing, you ask why, and you feed it back in a way Product can act on.
Also: 1–3 years in implementation, onboarding, or SMB customer success at a SaaS company. Strong written communication. Tech-comfortable enough to field basic product questions without routing everything to engineering. NYC-based; 10–20% travel.
Interview process
Intro call — 30 min with Deployment/Product Lead. First filter: execution orientation, portfolio management, role clarity
Live scenario — Three SMB agencies at different stages, one at risk. Walk us through how you'd prioritize the week and handle the at-risk account. No take-home — we move fast
On-site — Walk us through a past deployment or onboarding you ran — what went wrong, what you fixed, what you'd do differently. Founders chat follows. Strong candidates receive an offer the same day
What we offer
Competitive base and equity (see above)
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!
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: [email protected]
You didn’t get into Healthcare to do Digital Chores. Let your new AI Secretary handle the busy work so you can get back to care.
Key team members

Aditia P.
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