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!
Dart Health is hiring a Head of Engineering to help shape the future of applied AI in healthcare.
Backed by the Mayo Clinic Platform and leading healthcare investors, they’ve quickly become the market leader in post-acute care and are now expanding into acute care — with a clear ambition to become the national standard for clinical AI. Their platform is already deploying frontier intelligence across the country’s top healthcare organizations.
Their core platform enables healthcare organizations to deploy safe, high-impact technology across complex clinical environments. Today, their systems support 100,000+ patients weekly across hospice, home health, cardiology, oncology, and more.
As Head of Engineering, you’ll scale the technical foundation behind this platform and help define how clinical AI is built, validated, and deployed across the healthcare system.
Lead from the front — Stay ~50% hands-on across architecture, coding, and technical decision-making (TypeScript, Python, AWS, PostgreSQL/Supabase)
Scale the team — Manage the existing engineering team (6 engineers in São Paulo) and build out a NYC-based founding team
Define the architecture — Build systems and infrastructure for enterprise-grade healthcare deployments
Shape the roadmap — Partner closely with founders on product direction and R&D, including a virtual hospital simulation lab using synthetic patients
Set the bar — Own engineering quality, reliability, and speed in a trust-critical environment where technology reaches clinicians in weeks
Hire and build — Play a key role in recruiting as the team scales from ~11 to 15–20 this year
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. 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
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
Monthly lunch cards (~$500/person)
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.