Senior Technical Program Manager, Applied AI NYC or SF

At Concurrence, we're building the clinical AI infrastructure that health systems, life sciences companies, payers, and government agencies run their patient-facing care on. Our agents work across the whole patient journey: pre-visit intake, care navigation, post-visit care plans, and ongoing monitoring. Our mission is to make excellent care accessible to every patient, not rationed by the limits of clinician time.

This hasn’t been solved because the underlying record was never built for it. EHRs were designed for billing, not for systems that learn. So instead of layering another point solution on top, we’re rebuilding the medical record as a timeline of clinical events and running agents on top of it that improve with every patient interaction. Unlike single-purpose chatbots or scribes, Concurrence is the platform our customers use to build their own agents.

That means our work has to hold up across specialties, workflows, and regulatory environments, and not just one narrow use case.

Our agents have supported more than 10 million patient encounters and are on track to grow tenfold this year. Our work is validated through partnerships with leading academic medical institutions. We’re fresh off our Series A, backed by Tier 1 VCs such as Madrona, General Catalyst, and Optum Ventures.

We’re a small team of around 35 people, working in person in New York City and San Francisco. We care deeply about craft, clinical rigor, and the speed at which good ideas reach patients. If you want your work to be measured in outcomes rather than releases, we’d like to hear from you.

Our Applied AI team is a group of forward deployed engineers (FDEs). They take Concurrence from signed contract to production at our customers, usually across several accounts h account has its own data, integrations, clinical workflows, and deadlines. This role reports to the Head of Applied AI.

Our FDEs are excellent builders. What we need now is someone who makes the whole operation legible. That means knowing at any moment what every FDE is working on, what's at risk, what's blocked and why, and whether we'll hit what we've committed to.

This is a hygiene role in the best sense. If work isn't tracked in Linear, we can't plan capacity, judge workloads, measure on-time delivery, or help people get better at estimating and meeting dates. You'll make Linear the trustworthy source of truth for applied work. You'll do it with the follow-through, judgment, and technical credibility that make engineers see it as useful rather than bureaucratic.

You've been an engineer, and that matters. When an FDE says they're "blocked on platform," you need to know whether that's true. Is it a real platform gap, or applied-side work that hasn't been done? You need to be able to push back credibly in either direction.

Above all, you have relentless follow-through. You don't let things drop, you don't wait to be asked, and you don't stop chasing until it's done.

• The cross-account delivery plan. You'll own the plan across every active deployment: dates, dependencies, FDE capacity, and risk. You're the person who sees conflicts coming two weeks before they hit.

• Linear as the source of truth. You'll design how Applied AI works in Linear and then hold the team to it. That includes the project structure per account, labels that separate applied blockers from platform blockers, an estimation scale, and a shared definition of done. The result: tickets are current, statuses are honest, and due dates are set and met.

• Accountability on progress. You'll check in on work before it becomes a surprise. You'll chase updates, surface slips early, and make sure nothing goes quiet.

• Capacity and workload. You'll know how…