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OpenEvidence interview preparation

Walk into OpenEvidence prepared.
Know what it looks for.

OpenEvidence is a Miami-based medical AI company whose free, citation-grounded search engine is used by roughly two-thirds of US physicians to answer clinical questions from licensed sources like NEJM, JAMA and NCCN, and it reached a $15B valuation in September 2026. Its ~30-person engineering team works without product managers, five days on-site in Miami or San Francisco, and founders Daniel Nadler and Zachary Ziegler say they hire for raw learning speed and trust with autonomy. OpenEvidence interview prep means mastering a large take-home project, the no-PM ownership model, and the company's mission numbers and 2026 launches, while being ready to discuss its ad-funded model and accuracy debates with nuance.

What we know about OpenEvidence

Your preparation, in four steps

Take them in order, or start where you need help most.

  1. Step 1Learn how OpenEvidence hiresHear its values, its interview process and the questions it asks.Listen
  2. Step 2Build your storiesTurn your experience into STAR answers shaped around OpenEvidence.Open Story Bank
  3. Step 3Tailor your resumeWrite a resume for your target role at OpenEvidence, from your own experience.Open Resume Studio
  4. Step 4Practice out loudRun a mock interview with an AI interviewer. Get a written report on what to fix.Start practicing

What OpenEvidence's rounds look like

The project deep dive at OpenEvidence

We found no public description of this company's project deep dive. The interviewer runs the standard round.

From our notes on how OpenEvidence interviews.