Company interview guide

Harvey

All AI roles · updated 2026.07

Some public evidence

“Typical vertical ai hiring pattern. Strong candidates connect AI capability to the regulated or specialized workflow.”

5

stages

2–6 weeks

end to end

18

practice questions

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Harvey has 282 open roles right now

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  • Attorney, Evaluation Operations (Contract)

    Remote

  • GTM Enablement Partner, APAC

    Singapore

  • Engineering Manager, Agents — SF

    San Francisco

Or practice this loop first

01

The interview, stage by stage

  1. 1

    Recruiter screen30 min

    domain workflowaccuracy and trustenterprise deployment

    Prepare one concrete example and one practice problem for domain workflow.

  2. 2

    Domain/role screen60 min

    accuracy and trustenterprise deploymentevaluation

    Prepare one concrete example and one practice problem for accuracy and trust.

  3. 3

    Case or build exercise60 min

    enterprise deploymentevaluationcustomer discovery

    Prepare one concrete example and one practice problem for enterprise deployment.

  4. 4

    System/product design60 min

    domain workflowaccuracy and trustenterprise deployment

    Prepare one concrete example and one practice problem for evaluation.

  5. 5

    Leadership panel240 min

    accuracy and trustenterprise deploymentevaluation

    Prepare one concrete example and one practice problem for customer discovery.

02

What decides the offer

Domain workflow

25%

Uses specific evidence to demonstrate domain workflow.

Accuracy and trust

20%

Uses specific evidence to demonstrate accuracy and trust.

Enterprise deployment

20%

Uses specific evidence to demonstrate enterprise deployment.

Evaluation

20%

Uses specific evidence to demonstrate evaluation.

Customer discovery

15%

Uses specific evidence to demonstrate customer discovery.

They look hardest for domain workflow, accuracy and trust, enterprise deployment, evaluation.

03

Your four weeks

Week 1

Company, product and role model

  • ·Read current product/research material
  • ·Map the role to three company problems
  • ·Prepare a two-minute motivation narrative

Week 2

Core technical and product competencies

  • ·Practice domain workflow
  • ·Practice accuracy and trust
  • ·Practice enterprise deployment

Week 3

Timed simulations

  • ·Complete two timed exercises
  • ·Run one system/product design mock
  • ·Refine six behavioral stories

Week 4

Company-specific loop rehearsal

  • ·Practice linked questions
  • ·Rehearse project deep dive with adversarial follow-ups
  • ·Prepare interviewer questions and logistics

04

Practice these

05

Where people slip

  • !Generic motivation that could apply to any AI company
  • !Buzzword-heavy answers without mechanisms
  • !No measurable impact or personal ownership
  • !Ignoring cost, latency, safety or operational constraints
  • !Treating reported questions as a script rather than preparing underlying skills

06

Ask them this

  • ?What distinguishes strong performance in the first six months?
  • ?Which model, data or product constraint most limits the team today?
  • ?How are research, product and engineering decisions resolved?
  • ?How does the team evaluate AI quality before and after launch?
  • ?What is the policy on AI-tool use during each interview stage?

Sources