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The New Bets squad at United States Digital Space LLC is building the company’s next products, spanning React front ends, Python services, and LLM/prompting pipelines. You’ll own the build from PoC to production, shipping weekly and iterating with clinicians.
Ideal candidates bring production software experience, strong full-stack skills, and a bias toward fast, safe delivery in a healthcare context.
Who is the company?the company is building an AI Care Partner that supports clinicians every step of the way, from documentation to delivery of care.
We exist to double healthcare’s capacity while keeping care deeply human. In the last 18 months, the company has returned more than 18 million hours to clinicians and supported over 73 million patient visits. Today, more than two million patient visits each week are powered by the company across 116 countries and over 110 languages.
Founded by clinicians, the company brings together clinicians, engineers, designers, scientists, creatives, and mathematicians, working with a shared purpose: to strengthen the human connection at the heart of healthcare.
Backed by nearly $100 million in total funding, the company is expanding across the USA, UK, Canada, and Europe, partnering with major health systems including the NHS, Beth Israel Lahey Health, MaineGeneral, and Monash Health, among others.
We move quickly where it matters and stay grounded in what’s proven, shaping healthcare’s next era. Ready for the challenge?
The RoleThe New Bets squad builds the company's next products. Scribe already powers millions of patient visits a week, and Evidence and Remote are scaling behind it. Your job, alongside the New Bets PM and Team, is to build what comes next.
This is zero-to-one engineering with a distribution advantage most early products never get. Your v1s don't launch into silence, instead they go in front of clinicians who already open the company every day, and who will tell you within a week whether you have built something they need.
The squad is small on purpose. You'll build the whole thing: the React front end, the Python services behind it, and the prompts, retrieval and eval harnesses that make an LLM feature safe enough to put in front of a clinician. When a bet needs an onboarding flow, a data migration or a quick internal dashboard, that's you too. There's no one else to hand it to, so you will own the build from PoC through to production.
Some of what you build will be killed. Ultimately, most bets don't survive contact with a real clinic, and the winners graduate into staffed product lines that inherit your code. For this to work, the code that dies has to have been fast to write, and the code that lives has to be worth inheriting.
To fit in well with this team, you need to be the engineer who ships, ideally with: a few years of production software behind you, real judgment about what's good enough for a prototype versus what has to be right, and the appetite to own more surface area than any normal role would give you. If you're mid-level and impatient about it, this role is a fast-track to exposing yourself to complex problems and pushing towards a Senior level.
Our mission is clear: expand the world’s capacity to care, and do it without losing the humanity that makes care worth delivering.
the company is dedicated to creating an equitable, inclusive, and supportive work environment that brings people together from diverse backgrounds, experiences, and perspectives. Our strength is in our differences. We're proud to be an equal opportunity employer and are proud to welcome all applicants as we're committed to promoting a culture of opportunity for all.