Head of Engineering [NYC or SF]

Concurrence•New York City, NY

5h•Onsite

About The Position

Concurrence is building a platform healthcare organizations use to create clinical AI agents. The platform is built on the Health World Model, which unifies a health system’s data into a living, event-level record of each patient’s care. Concurrence’s agents support work across the patient journey, from intake and scheduling to medication management and clinical decision support. The company reports that its agents have supported more than 10 million patient encounters and are on track to grow tenfold this year. It runs natively on Databricks, integrates with every major EHR, and is backed by Madrona, General Catalyst, and Optum Ventures. Concurrence has about 35 employees working in person in New York and San Francisco. The Head of Engineering will own the application layer, backend and infrastructure, and data platform, and set the standards for all three. The role leads established engineers and future hires, shaping how engineering is organized, what the team builds or adopts, and how it hires. The Head of Engineering will set technical direction and quality standards while developing engineers and future leaders. The position combines technical leadership with product judgment. The Head of Engineering will work closely with the CTO on technical strategy and partner with Applied AI, Forward Deployed, and product teams to translate customer needs into reliable systems. The role calls for a strong engineering background, a deep sense of ownership, and the ability to build an organization as well as lead it.

Requirements

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; the role requires 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 the candidate’s leadership.
Strong technical background and enough current depth to engage credibly in system design, architecture, and tradeoff decisions.
Ability to translate customer needs and engineering goals into a roadmap and shipped systems.
Excellent communication across engineering, product, and customer-facing teams, including judgment about when to escalate and when to absorb.
Deep sense of ownership for team outcomes and long-term system health.
Comfort with ambiguity and changing priorities as deployments reveal customer needs.

Nice To Haves

Experience leading engineering in 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 such as healthcare, financial services, or the public sector.

Responsibilities

Lead and grow engineering across application, backend and infrastructure, and data, providing mentorship, direct feedback, and clear technical guidance.
Hire engineers and develop leaders, building a team that continuously raises its standards.
Drive execution from problem definition through deployment, balancing speed with the reliability required in a clinical setting.
Engage in technical discussions, guide system design, and help the team navigate architectural tradeoffs.
Set engineering culture and practices for code reviews, shipping, completion standards, and responses to production issues.
Break large platform problems into increments that deliver value early while supporting the platform’s long-term direction.
Partner with Applied AI, Forward Deployed, and product teams to align priorities and decide which needs the platform should absorb versus which remain bespoke for each customer.
Ensure the team understands the reliability, security, and privacy implications of building systems that involve patient data.