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Concurrence
New York City, New York, United States; San Francisco, California, United States
Source: Concurrence careers · View original posting
From Concurrence's posting. “We” and “our” refer to the employer.
At Concurrence, we're building the clinical AI infrastructure that health systems, life sciences companies, payors, 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.
Before Concurrence can deliver agents that clinicians trust, our engineers need a platform they can move quickly and safely on. That means an application layer that ships fast, backend and infrastructure that hold up under clinical load, and a data platform where a patient’s timeline is correct and current. As Head of Engineering, you’ll own all three and the standards they’re held to.
You’ll lead a team of established engineers and the ones you hire across application, backend and infrastructure, and data. Engineering here is still taking shape, which means influence over how the organization is structured, how we hire, what we build ourselves, and what we adopt. You’ll set technical direction and the quality bar, and you’ll grow the engineers and future leaders on the team.
This role blends technical leadership with product judgment. You’ll work closely with our CTO on technical strategy and partner with the Applied AI and Forward Deployed teams whose deployments depend on the platform, translating what customers actually need into systems that hold up. The ideal candidate brings a strong engineering background, a deep sense of ownership, and the ability to build an organization rather than simply run one.
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