Abridge interview, decoded.

Updated · Sources at the end

Candidates who have been through Abridge's loop say the same thing about it: the questions come from the company's own product. The system design round reported on Blind is a clinical tool execution service, with the interviewer handing over part of the code and asking you to write the important pieces. The hiring manager call is a deep dive on something you built, the onsite adds a coding round that is sometimes AI-related and a product-sense round with people outside engineering, and the last call is with the CTO.

Abridge was founded in 2018 and records the conversation between a clinician and a patient, then turns it into a structured clinical note inside the health system's medical record, with every line of the summary linked back to what was said. It works with more than 150 US health systems and raised a $300M Series E led by Andreessen Horowitz in June 2025, at a $5.3B valuation.

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The questions for your exact Abridge role and level.

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Interviewing at Abridge? Below are the questions candidates report. For the ones your exact role and level will get, paste the posting. Your first mock is free.

01

Who Abridge hires

Abridge hires software engineers across backend, frontend, mobile and data, integrations engineers who connect the product to Epic, Cerner and VistA medical records, machine learning scientists and infrastructure engineers, security engineers, and junior engineers and interns. Most engineering roles are hybrid from the San Francisco office, with some in New York, California-remote or US-remote for integrations. The stack in the ads is TypeScript and Node on Google Cloud, with Python on the ML side.

One loop, with two roles that change what it is about.

  • Track · Product eng

    Software engineering

    Recruiter, the manager call with a project deep dive and a small design exercise, an onsite of system design, coding and a product-sense round, then the CTO. Junior engineers are hired onsite in San Francisco and the ad asks for agentic coding and LLM systems work: retrieval, tool use, chained model calls and evaluation.

  • Track · Integrations

    Integrations engineering

    Senior full stack engineers who build the connections into each health system's records, one role each for Epic, Cerner and VistA. The Epic ad asks for two years launching apps inside Epic (Hyperspace, Haiku, Rover), FHIR APIs, OAuth 2.0 and mTLS, and time with customers when an integration breaks. Expect the design and project questions to go there.

02

What is the Abridge interview process?

Four stages over about a month, from candidate reports on Taro, 1Point3Acres, Blind and Glassdoor between February 2025 and April 2026. Abridge does not publish its loop in its ads, so check the rounds with your recruiter.

01
Recruiter call
A short call

Background, the team, and the office: most roles are hybrid in San Francisco.

02
Hiring manager call
About an hour

A deep dive on a technically complex project you built: the infrastructure decisions, the trade-offs, and what you would do differently. It ends with a small system design exercise. Reported phone screens also include design with a security focus, and one asked for a real-time display of a user's progress designed from the UI down to the infrastructure.

03
Onsite panel
Three interviews

System design on Abridge's own product (the reported one is a clinical tool execution service with partial code to complete), a coding round that is sometimes AI-related, and a cross-functional round on product sense.

04
CTO call
A final conversation

Some candidates report a final with the VP of Engineering instead. The one offer report describes the whole process as fair and the offer as generous.

03

The Abridge online assessment: what is reported

Reported problem types, and how to approach them

Two candidate reports from September 2026 describe an online coding assessment for software engineers at Abridge, sent before any interview with the team. One reports four problems; the other lists three. None of Abridge's own job ads mention it, and earlier reports from 2025 and the first half of 2026 go straight from the recruiter to the hiring manager call, so it looks recent and may not apply to every role. Neither report names the platform or the time limit. Ask your recruiter both when the link arrives, and whether AI tools are allowed.

  • Arrays, strings and arithmetic: The reported warm-ups are short: summing numbers that meet a divisibility rule, and compressing a list of characters in place with counts that can run to more than one digit. Get these right first time and move on. The traps are edge cases such as a count of 10 or more, an empty input and an input of one element.
  • Parsing nested structure: One report includes decoding a string where a number followed by bracketed text means that text repeated, with brackets inside brackets. Use a stack of partial strings and counts, and test a nested case and a multi-digit count before you submit.
  • Dynamic programming and graphs: The other report lists a classic minimum-coins problem and counting the connected parts of a graph. Know bottom-up dynamic programming for the first and union-find or a breadth-first search for the second, and say what happens when no answer exists.
  • A small design-a-class problem: A game simulated as a class is also reported, with a move method that updates the state and says when the game ends. Pick your data structures before writing methods: a queue for the moving parts and a set for fast collision checks is the usual shape.

These are standard algorithm problems at easy to medium difficulty. The rest of the loop sets its design and coding questions inside Abridge's clinical product, so treat the assessment as a filter to clear before the manager call, and practise timed sets of four across strings, stacks, dynamic programming and graphs.

The rest of the loop depends on your role. Pick it, or paste the posting, and Calibrd predicts the rounds and questions you are likely to get at Abridge.

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04

What Abridge screens for

The ads ask for people who care about clinicians and patients as users, and who can be trusted with medical data and with AI that has to be checked.

  • Product sense: the questions are about Abridge's product, and one onsite round is only about that
  • Ownership of a project's decisions, including the ones you would now change
  • Trustworthy AI: every summary is linked back to the conversation it came from
  • Security and privacy with patient data, a theme in the phone screens
  • Empathy for the clinicians using it, a line in every engineering ad
05

Abridge interview questions

Candidate-reported themes

Few candidates have published exact questions, but the ones that exist are specific to Abridge's product. The behavioural questions below are the ones reported; the technical themes come from the reports and the ads.

Behavioural & motivation

  • Why Abridge, and why healthcare?Listening for: Specificity · Connection · Research
  • Walk me through a technically complex project you completed. What infrastructure decisions did you make?Listening for: Real complexity · Infrastructure decisions · Outcome
  • What would you do differently on that project now?Listening for: Specific change · Why it matters · Applied since
  • What technical trade-offs did you consider, and why did you pick the one you did?Listening for: Real options · Criteria used · Choice and result
  • Integrations: tell me about an integration with a large customer that failed in production and how you got it working.Listening for: The failure · How you fixed it · Prevention

Technical

  • Design a clinical tool execution service. You are handed part of the code: write the critical pieces and defend the design.Clinical tool execution service: The reported design question: partial code handed over, you write the critical parts and defend the designListening for: Reads the code · Critical pieces · Safe with patient data
  • Design a real-time display of a user's progress, from the UI through the backend to the infrastructure.Real-time product design: A live display of a user's progress, designed from the UI through the backend to the infrastructureListening for: UI to backend · Backend events · Scale and failure
  • Practice: Design storage for recordings of conversations between clinicians and patients. Who can access them, how is access audited, and how is the data encrypted?Security-focused design: Designing with patient data in mind: access, audit, encryptionListening for: Access control · Audit trail · Encryption and retention
  • Practice: Build a small feature that answers a question about a visit transcript using retrieval and one tool call. How would you structure it and test it?AI coding: An applied coding round involving models; the junior ad lists retrieval, tool use and chained LLM callsListening for: Clear structure · Grounded answers · Evaluation
  • Practice: An app needs to launch inside Epic and read a patient's data through FHIR. Walk through the launch, the authentication and the data flow.Health record integrations: FHIR, Epic app launches, OAuth 2.0 and mTLS, real-time and batch dataListening for: Launch flow · Auth and security · Data flow

These are the reported themes, and your loop is role-specific. Paste the actual posting and Calibrd predicts the questions for that exact role and level. How the questions are predicted →

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06

Pay

Software Engineer, USAbout $290K–$320K median total pay
Senior full stack (posted)$210.8K–$248K base plus equity
Junior Software Engineer (posted)$167K–$184K base
ML infrastructure (posted)$221K–$260K base

Levels.fyi, read on 23 September 2026, puts the median software engineer package at Abridge between about $292K and $320K depending on the page, with base, stock and bonus. Abridge posts ranges on every ad: senior full stack and data engineering at $210.8K to $248K base, senior frontend and mobile at $218K to $250K, ML infrastructure at $221K to $260K, machine learning scientists at $205K to $300K, and junior engineers at $167K to $184K, with equity on most senior roles. Calibrd benchmarks the pay on any posting you scan against its level and location.

07

How to prepare for an Abridge interview

  1. Pick your deepest project and rehearse it three ways: the infrastructure decisions, the trade-offs you weighed, and what you would change now. The manager call is built on it.
  2. Design something from Abridge's world before the onsite: audio from a visit, a transcript, a model that drafts the note, the clinician checking it, the note written back into the record. Keep patient data and access in the picture.
  3. Practise completing someone else's code in a design interview. The reported round hands you stubs and asks for the critical parts.
  4. Build a small LLM feature with retrieval and a tool call. The coding round is sometimes AI-related and the junior ad asks for exactly that.
  5. Integrations engineers: know FHIR, OAuth 2.0 and how an app launches inside Epic, and bring a story about a customer integration that broke.

This guide covers Abridge's software, integrations and machine learning engineering loops. Clinical, sales and operations roles run a different process. For management and leadership roles the loop is similar but the bar shifts to people, delivery and strategy, so pair it with the leadership interview prep hub. The bar for your exact role comes from the role-by-role guides, and the prep that actually transfers is spoken, so run a mock interview before the real one.

Also interviewing at Cognition, Synthesia or Databricks? Their guides follow the same format, from the first screen to the offer.

Knowing the questions isn’t the same as answering them out loud. Run an Abridge mock: spoken answers, coached on the spot. Your first mock is free.

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08

FAQ & sources

What is Abridge's interview process?

Four stages over about a month, from candidate reports on Taro, 1Point3Acres, Blind and Glassdoor between February 2025 and April 2026. The stages, in order: Recruiter call; Hiring manager call; Onsite panel; CTO call.

What does Abridge look for in candidates?

The ads ask for people who care about clinicians and patients as users, and who can be trusted with medical data and with AI that has to be checked. Product sense; Ownership of a project's decisions, including the ones you would now change; Trustworthy AI; Security and privacy with patient data, a theme in the phone screens.

What questions does Abridge ask in interviews?

Few candidates have published exact questions, but the ones that exist are specific to Abridge's product. Technical themes: Clinical tool execution service; Real-time product design; Security-focused design; AI coding; Health record integrations.

Does Abridge have an online assessment?

Two candidate reports from September 2026 describe an online coding assessment for software engineers at Abridge, sent before any interview with the team. One reports four problems; the other lists three. Covered on this page: Arrays, strings and arithmetic; Parsing nested structure; Dynamic programming and graphs; A small design-a-class problem.

How do I prepare for an Abridge interview?

Pick your deepest project and rehearse it three ways: the infrastructure decisions, the trade-offs you weighed, and what you would change now. The manager call is built on it. Design something from Abridge's world before the onsite: audio from a visit, a transcript, a model that drafts the note, the clinician checking it, the note written back into the record. Keep patient data and access in the picture.

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Abridge Interview Process: Clinical System Design — Calibrd