Note: We are recruiting on behalf of our valued client. This opportunity is for a position with their organization, not with People Culture Talent. We're excited to help connect talented professionals with this exceptional team!
A fast-growing clinical AI company — deploying frontier intelligence across the nation's top healthcare organizations — is looking for a Head of Engineering to help shape the future of applied AI in healthcare.
Backed by Mayo Clinic Platform and leading healthcare VCs, this healthcare AI startup has achieved $1M+ ARR in under 12 months and is now seeking a Head of Engineering to scale their engineering team and help build the infrastructure for clinical AI at enterprise scale.
The company building HOMER-1 — the first Clinical AI Machine for healthcare — is hiring a Head of Engineering to lead the team taking clinical AI from market leader in post-acute care to the standard for acute care nationwide.
Lead core engineering work across the full stack (TypeScript, Python, AWS, Supabase/PostgreSQL), staying ~50% hands-on with architecture, code review, and technical scoping
Scale and manage the existing engineering team (6 engineers in São Paulo) while hiring 2–3 US-based engineers to build out the NYC founding team
Drive technical architecture decisions and build systems and processes that support enterprise-grade healthcare deployments
Partner closely with the founders on product roadmap, R&D initiatives, and the company's near-term technical north star: a virtual hospital/hospice simulation lab using synthetic patients
Champion engineering quality, reliability, and speed — Dart deploys across thousands of nurses in 2–3 weeks, and that differentiator lives in your hands
Contribute to recruiting and interview processes across engineering and beyond as the team grows from ~11 to 15–20 by year-end
6–10 years of engineering experience with a demonstrated track record of success as an engineering lead
Experience leading small, high-performing engineering teams — and comfort being a builder first, manager second
~50% hands-on engineering in your most recent role; you're not looking to leave the code behind
Startup experience (any stage) — you move fast, operate with autonomy, and don't need process to get things done
First-principles thinking and the ability to operate in high-variability, trust-critical environments
Forward Deployed Engineer (FDE) experience is a strong plus — the ability to sit at the intersection of customer problems and technical solutions is exactly what this role calls for
No healthcare background required; curiosity about clinical AI and patient impact is what matters
Their openings span more than one career level. The starting salary for this role is $250,000 USD, with a range up to $350,000 USD, plus strong pre-seed equity on a 6-year vesting schedule. The provided salary depends on many factors, such as work experience and transferable skills, business needs and impact, and market demands.
ICHRA health benefits (best-in-class, flexible)
Flex time off — not tracked, with a culture that trusts you to manage your time
Monthly lunch cards (~$500/person) and informal morning team gatherings
Annual company offsites in unique, off-the-grid locations
Milestone events tied to company wins (go-karts, team outings, and more)
In-person, collaborative culture in a spacious NYC office near Madison Square Garden
Customer travel opportunities
Dart Health has built HOMER-1: the first Clinical AI Machine. Unlike companies focused on administrative automation or scheduling software, Dart focuses exclusively on clinical AI — tools that directly improve patient outcomes. Their platform monitors approximately 100,000 patients per week across post-acute and acute care settings, serving the largest home health and hospice enterprises in the US and partnering with Mayo Clinic as both a build partner and investor.
In under 12 months, Dart crossed $1M ARR and became the market leader in post-acute clinical AI. Backed by 43.io and Virtue VC, Dart's 11-person team is small by design and ambitious by nature.
This is a rare opportunity to join at the ground floor of a company solving genuinely hard problems — not just optimizing workflows, but building systems that affect how clinicians make decisions for real patients.
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