Company interview guide

Postman

All AI roles · updated 2026.07

Limited public evidence

“Included as a consequential modern Indian developer tools employer with relevant product, engineering, data or AI roles.”

5

stages

3–8 weeks

end to end

20

practice questions

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Or practice this loop first

01

The interview, stage by stage

  1. 1

    Recruiter screen60 min

    developer experienceAPI design

    Prepare one quantified example demonstrating developer experience.

  2. 2

    Coding or role specific assessment60 min

    API designcoding

    Prepare one quantified example demonstrating API design.

  3. 3

    Hiring manager deep dive60 min

    codingtechnical communication

    Prepare one quantified example demonstrating coding.

  4. 4

    System/product/domain interview60 min

    technical communicationproduct velocity

    Prepare one quantified example demonstrating technical communication.

  5. 5

    Behavioral and cross functional panel90 min

    product velocitydeveloper experience

    Prepare one quantified example demonstrating product velocity.

02

What decides the offer

Developer experience

25%

Shows specific decisions and measurable evidence for developer experience.

API design

20%

Shows specific decisions and measurable evidence for API design.

Coding

20%

Shows specific decisions and measurable evidence for coding.

Technical communication

20%

Shows specific decisions and measurable evidence for technical communication.

Product velocity

15%

Shows specific decisions and measurable evidence for product velocity.

They look hardest for developer experience, API design, coding, technical communication.

03

Your four weeks

Days 1–2

Company and market

  • ·Map products, users, revenue model and competitors
  • ·Write a one-page company thesis

Days 3–5

Core role skills

  • ·Practice developer experience
  • ·Practice API design
  • ·Practice coding

Days 6–8

Company-context cases

  • ·Design an API used by millions of developers.
  • ·Debug a broken SDK integration.
  • ·Improve onboarding without hiding technical complexity.

Days 9–11

Technical simulations

  • ·Complete two timed exercises
  • ·Run one architecture/product mock
  • ·Practice follow-up pressure

Days 12–14

Stories and final loop

  • ·Prepare six quantified ownership stories
  • ·Rehearse project deep dive
  • ·Prepare interviewer questions

04

Practice these

05

Where people slip

  • !Generic enthusiasm about startup culture or AI
  • !No understanding of the company business model
  • !Ignoring Indian price sensitivity, regulation or operational variance
  • !Architecture without failure recovery and observability
  • !Claiming a recommended case was actually asked

06

Ask them this

  • ?What is the exact loop for this team and level?
  • ?Which rounds permit AI tools?
  • ?What would I own in the first 90 days?
  • ?What is the hardest product or model constraint the team faces in India?
  • ?How does the team measure quality after launch?
  • ?How are ESOPs valued and what is the exercise policy?

Sources