AI use among architectural and engineering managers is little observed so far. Measured exposure for architectural and engineering managers: 3% (little observed).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

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About the job

About Concurrence

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.

About this role

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.

What you'll do

Lead and grow engineering across application, backend and infrastructure, and data, supporting engineers with mentorship, direct feedback, and clear technical guidance

Hire engineers and develop leaders, building a team that continuously raises its own bar

Drive execution from problem definition through deployment, balancing speed with the reliability a clinical setting demands

Engage deeply in technical discussions, guiding system design and helping the team navigate architectural tradeoffs

Set the engineering culture: how we review code, how we ship, what we consider done, and how we respond when production issues arise

Break large platform problems into increments that deliver value early while still supporting the platform’s long-term direction

Partner with the Applied AI, Forward Deployed, and product teams to align priorities and decide what the platform should absorb versus what remains bespoke per customer

Keep the team fluent in the reliability, security, and privacy implications of what they build in an environment involving patient data

What we're looking for

A track record of engineering leadership in organizations with a strong engineering culture.

Breadth across more than one of application, backend and infrastructure, and data platform. This role spans all three, so we're looking for a generalist leader rather than a specialist in one area

Experience managing and developing engineers, including hiring, mentorship, and performance conversations, with examples of people who grew under you

A strong technical background, and enough current depth to engage credibly in system design, architecture, and tradeoff decisions

The ability to translate customer needs and engineering goals into a roadmap and then into shipped systems

Excellent communication across engineering, product, and the customer-facing teams, including the judgment to know when to escalate and when to absorb

A deep sense of ownership for both team outcomes and long-term system health

Comfort with ambiguity. Priorities move as deployments teach us what customers actually need

Healthcare experience is not required. Strong engineering leadership transfers, and the clinical context is learnable

Nice to have

Experience leading engineering inside a data-heavy company, or owning a data platform alongside application and backend teams

Background in highly scalable distributed systems or infrastructure platforms

Experience building platforms or products consumed directly by other engineers

Familiarity with regulated environments, whether healthcare, financial services, or the public sector

Benefits (available to Full-Time Employees)

Health & Wellness

Comprehensive health, dental, and vision insurance

Daily catered lunch and dinner

Mental health support and wellness coaching

Flexible wellness stipend for fitness, therapy, or personal growth

Growth & Development

Annual learning budget for courses, books, or conferences

Conference attendance budget for professional development

Annual team offsite

Academic collaboration opportunities

Unlimited PTO

Our Core Values

Patients Win, We Win

If patients aren't getting better care, we haven't earned the right to scale. Every internal decision gets pressure-tested: does this make patients' lives better? If we can't draw the line, we question why we're doing it.

High Standards, High Care

We hold a high bar for the team because patients are counting on us to get this right. But high standards only work with genuine investment in each other. You can take risks, admit mistakes, and challenge ideas—not despite our standards, but because of them.

Thoughtful Urgency

We move fast by default, but speed without judgment is recklessness. The discipline is knowing which decisions are reversible vs. not. In healthcare AI, the companies that win will be fast everywhere they can be and careful everywhere they must be. We build the muscle to do both.

Intensely Measured

We instrument patient outcomes, provider ROI, system performance, and clinical accuracy. But data without action is surveillance. Every metric should have an owner, a threshold, and a response plan. If we're measuring something but never acting on it, we stop measuring it.