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. Backed by South Park Commons.
About the role
You're the operating half of a two-person deployment unit — one FDE, one Deployment Strategist, jointly accountable. You own everything the FDE doesn't: the relationship, the rollout, the change management, and the outcome. You embed with the agency. You earn trust from the owner down to the after-hours coordinator. You hold the outcome from kickoff through the lifetime of the deal.
What they're looking for
- Four things. In order
- Executive range. You QBR with a COO and train a frontline coordinator in the same week without losing altitude on either. You flag risk before it lands in the customer's lap. The relationship you build is an expansion relationship, not a renewal one
- Product translation. You're the clearest signal the product team gets from the field. When you see the same friction three times, you write it up. And you follow through until it ships
- Also: 3–5 years in implementation, deployment, or a TAM/engagement manager role. Strong writing — your QBR decks don't need editing. Comfortable in a technical conversation without being the engineer. NYC-based, 25–40% travel
More about this role
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.
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...
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