About MedBAR.ai
MedBAR.ai built the flight simulator for clinical reasoning.
Medicine never documented its most important layer. The knowledge is in the textbooks, but the reasoning (what to ask, what to order, what to rule out, when to act) was never captured at the scale needed to learn from it. So it has always passed from expert to student one case at a time: at the bedside during residency, and today, in much the same way, in the training of frontier models. That is the layer we build for.
What began as research at the Technion and Rambam is now a live commercial product with leading medical faculties, a national examination body and top U.S. healthcare networks. The same platform trains and evaluates students, residents and experts, and evaluates the top AI systems and foundation models before and after they go live.
We are a small team built for talent density: scientists who have shipped before, clinicians who know the decisions made at the bedside, and senior healthcare executives.
Why join
- The category is being decided now. Health systems, payers and AI builders are deciding right now how clinical AI gets tested, trusted and improved before and after it reaches patients. You put MedBAR.ai in the room where those decisions are made.
- The team. You work side by side with the people who built the science, the platform and the partnerships.
- Something real to bring. A live platform, research-grade science and partners who already rely on it. Your conversations start with evidence, not a slide.
- No layers. A fast-moving startup where your judgment shapes which partnerships we pursue and how we shape them.
What you’ll do
You drive new partnerships with top U.S. health systems, payers and the companies building clinical AI: you find where MedBAR.ai matters most, start the right senior conversations, and carry them to proof of value. The role is remote within the U.S. and includes regular travel.
- Map the market. Build and prioritize a target map across health systems, payers and AI builders, down to the named leaders who choose, approve and govern clinical AI.
- Open senior conversations. Reach CMIOs, Chief Digital and AI Officers, CMOs, and innovation and clinical leaders.
- Engage the builders. Build strategic conversations and partnerships with AI and tech leaders at foundation-model companies, big tech and AI-native health companies.
- Turn interest into proof of value. Run discovery, find the real problem and the real sponsor, shape the use case and success criteria, and bring in our clinical, scientific and executive leaders at the right moment.
What success looks like
In your first months: partnerships moving from first meeting to valuable strategic partnerships.
Must-haves
- A record of opening doors. 4+ years in healthcare partnerships, BD or enterprise sales, with senior U.S. health-system relationships you built yourself.
- Fluent in clinical AI. You know how clinical and patient-facing AI is built, evaluated, governed and bought, and you are credible with a CMIO and an ML lead alike.
- Executive presence, owner’s energy. You hold the room with senior leaders and set your own agenda.
- Hands-on, down to the detail. From the research and the message to the meeting and the follow-up, you own it end to end.
- Fast and rigorous. You move quickly, run many threads with discipline, and know early when an opportunity is real.
- Built for close collaboration. Low ego, coachable, and energized by an involved, demanding executive team.
Nice-to-haves
- Inside knowledge. Time at a clinical AI or health IT company, or on a health system’s digital team.
- Relationships. Across health systems, payers or big-tech health AI teams.
- Proof-of-value craft. Opportunities you have turned into contracts.
- Depth. A clinical, scientific or technical background.
Compensation
$120,000–$150,000 base, plus performance bonus and equity.
Health benefits and paid time off. Where you land in the range reflects your experience.
Sound like you?
Tell us, in a few lines, about one partnership you opened yourself, from first contact to signature.
Or write to joinus@MedBAR.ai