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All Tech JobsThe whole board, newest first.Roles That Fit MeAnswer a few questions, see your matches.Early WindowFound before the big boards.Direct ApplyStraight to the manager, past the ATS.$145,000 - 160,000/ year
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Sign Up to ReadThe company is an early-stage healthcare startup that uses AI to guide patients to the right care. It helps providers focus on the patients who need them most, with the goal of improving access, quality, and economic outcomes at scale.
Founders came from Apple, Uber, and Carbon Health. Investors include General Catalyst and Chelsea Clinton. The company works with health systems across the U.S. and has started partnering with healthcare organizations in the MENA region.
You will own the technical relationship with 3-5 health system partners, from first integration through go-live, expansion, and daily operations.
Partners are customers the company works with closely, and each one is growing by adding clinics, workflows, and call volume. The company is moving from a handful of partners toward a much larger base, so every partner needs steady support.
The role blends engineering, customer work, and product. You will work inside partners' environments with their IT, access, and clinical staff, then feed what you learn back to product and engineering. A good fit is an engineer who likes working close to customers, enjoys messy real-world systems such as Epic, HL7, fax, and phone trees, and wants to turn one-off work into a repeatable playbook.
Success looks like: each partner has a clear technical owner who trusts you, new partners go live faster with fewer custom steps, issues get caught early, onboarding follows a shared runbook and checklist, partner-specific knowledge lives in config and tooling, and partners expand over time.
This matters because the product only works when it is connected to a partner's EHR, phone lines, SOPs, and staff. Integration and launch are where most healthcare AI deployments stall.
The company values serving people with integrity and kindness, moving quickly while prioritizing safety and evidence, asking questions before assuming, collaborating with mutual respect, and using AI to work smarter.
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