We're building the AI layer that healthcare workflows have always needed.
Curee is an AI workflow automation platform purpose-built for healthcare providers. We make it possible for health systems, physician groups, SNFs, and rehab facilities to automate the documentation, coordination, and care management tasks that consume clinical time — without replacing the humans who deliver care.
This is the Curee handbook. It's a living document that describes how we think, how we work, and what we're trying to build. It's not a marketing page — it's an honest account of what Curee is and who we are.
We publish this publicly for two reasons. First, because the people who choose to work with us — whether as customers, employees, or partners — deserve to understand what we actually stand for. Second, because we believe transparency produces better decisions, internally and externally.
If something here seems wrong, or you disagree with it, we genuinely want to hear from you.
The Curee team, San Francisco — 2025
Eliminate the administrative burden that separates clinicians from patients.
The average physician spends more than two hours on documentation and administrative work for every hour of direct patient care. For nurses, it's worse. For small physician groups and post-acute facilities operating on thin margins, the burden is existential.
Our mission is to make AI-powered automation so seamless that the clinical team barely notices it exists — except that they have more time, less stress, and better data.
We are not building tools that replace clinical judgment. We are building tools that clear away the noise around clinical judgment, so the humans doing this work can do what they're actually trained for.
“The documentation burden is not a minor inconvenience. It is a direct cause of burnout, diagnostic error, and worse patient outcomes. We think it's solvable.”
Healthcare's software stack is broken in a very specific way.
EHRs were built for billing, not care. They are extraordinarily good at capturing charges and generating records. They are extraordinarily bad at reducing the work required to do both.
The downstream consequences are well-documented: clinician burnout at record levels, prior authorization delays that cost lives, care coordination gaps that drive readmissions, and documentation that takes 6 clicks to accomplish what should take one.
Most AI tools in this space have tried to patch individual symptoms — a better ambient documentation tool here, a prior auth automation there. These are helpful. But they don't address the root issue: care teams don't need more point solutions. They need an intelligent layer that sits across their entire workflow and surfaces the right action at the right time.
2.1×
Hours of admin work per hour of patient care
54%
Of physicians report burnout as their primary challenge
$935B
Lost annually to administrative waste in US healthcare
The things we actually believe.
Not values as wall art. Values as decision filters — the things we invoke when we're choosing between two reasonable options.
Default to clarity
Healthcare is already complex. We refuse to add more noise. Every workflow, every interface, every output should reduce cognitive load — not add to it.
Work done right > work done fast
In clinical settings, a rushed output can cause real harm. We build systems that enforce accuracy by design, not by reminder.
Trust is earned, not assumed
We don't ask providers to take our word for it. We show our reasoning, surface our sources, and make it easy to override or question anything Curee produces.
The care team is the user
We design for the nurse charting at 2am, the hospitalist managing 40 patients, the SNF administrator buried in prior auth. Not for the IT buyer.
Automation should be invisible
The best AI workflows are the ones you barely notice — because they just work. We aim for zero-friction adoption.
Build in public (internally)
We over-communicate internally. Decisions, trade-offs, mistakes — everything is written down, shared, and open for challenge.
Principles for how we operate day-to-day.
We're a remote-first team with dense async communication and minimal synchronous overhead. Here's how that actually works.
Writing over meetings
We write to think, to decide, and to align. Every significant discussion starts as a doc. Synchronous time is reserved for what asynchronous communication genuinely can't solve.
Small teams, big ownership
We keep squads to 3–4 people maximum. Each person owns a surface end-to-end — from spec to deployment to monitoring. No ticket queues, no handoff debt.
Clinicians in the room
Every product squad has a clinical advisor who holds veto power on anything touching patient workflows. We do monthly embedded observation sessions at partner sites.
Ship, learn, iterate
We run on two-week cycles with hard commitments. Nothing sits in staging for more than a sprint. If it's not ready to ship, we don't build it yet.
Radical transparency on metrics
Every team sees every team's OKRs, adoption rates, and error logs. Hiding problems is the only thing we're intolerant of.
Our SF office — we're remote-first but gather once a quarter.
The people building Curee.
We're a team of clinicians, engineers, and designers who've spent time inside health systems and deeply regret the state of the software they use. We're fixing it.
Arjun Mehta
Co-Founder & CEO
Former clinical informatics lead at UCSF. Built and sold two health-tech products before starting Curee. Obsessed with the gap between what EHRs promise and what they deliver.
Priya Srinivasan
Co-Founder & CTO
Previously infrastructure lead at Palantir's health division. Thinks deeply about data pipelines, compliance, and why most healthcare software is built upside-down.
Daniel Osei
Head of Product
Seven years as a hospitalist before joining Curee. Bridges the clinical reality and the product roadmap with unusual precision.
Lena Hoffman
Head of Design
Previously at Figma and One Medical. Believes that great healthcare software should feel like consumer software — and that there's no reason it can't.
Marcus Williams
Head of Partnerships
Former VP at a mid-size health system. Understands procurement, contracting, and implementation from both sides of the table.
Sofia Park
Head of Clinical AI
PhD in NLP from MIT. Spent three years building clinical documentation models at Google. At Curee, she makes sure the AI is never confidently wrong.
We're hiring across engineering, clinical, and design.
We look for people who have strong opinions about the problem we're solving and the patience to do the unglamorous work required to solve it well. Healthcare is hard. Building AI in healthcare is harder. We're not looking for people who want to make a quick dent.
If you've spent time in health systems and know exactly what's broken, we want to talk. If you've built infrastructure that has to be right — in finance, defense, healthcare, or elsewhere — we want to talk. If you're a designer who's genuinely frustrated by the UX of clinical software, we want to talk.
Staff Software Engineer, Backend
Engineering · Full-time · Remote
Senior ML Engineer, Clinical NLP
AI / ML · Full-time · Remote
Product Designer
Design · Full-time · Remote
Clinical Informatics Lead
Clinical · Full-time · SF Preferred
Director of Customer Success
GTM · Full-time · Remote
Don't see your role?
We hire for potential and perspective. Send us a note.