Head of Engineering [NYC or SF]

Amigo•New York City, NY

3d•Hybrid

About The Position

Before Amigo 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.

Requirements

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 Haves

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

Responsibilities

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
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