Company interview guide

Eternal (Zomato)

All AI roles · updated 2026.07

Limited public evidence

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

5

stages

3–8 weeks

end to end

20

practice questions

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01

The interview, stage by stage

  1. 1

    Recruiter screen60 min

    product judgmentmarketplace systems

    Prepare one quantified example demonstrating product judgment.

  2. 2

    Coding or role specific assessment60 min

    marketplace systemsexperimentation

    Prepare one quantified example demonstrating marketplace systems.

  3. 3

    Hiring manager deep dive60 min

    experimentationoperational scale

    Prepare one quantified example demonstrating experimentation.

  4. 4

    System/product/domain interview60 min

    operational scalecustomer empathy

    Prepare one quantified example demonstrating operational scale.

  5. 5

    Behavioral and cross functional panel90 min

    customer empathyproduct judgment

    Prepare one quantified example demonstrating customer empathy.

02

What decides the offer

Product judgment

25%

Shows specific decisions and measurable evidence for product judgment.

Marketplace systems

20%

Shows specific decisions and measurable evidence for marketplace systems.

Experimentation

20%

Shows specific decisions and measurable evidence for experimentation.

Operational scale

20%

Shows specific decisions and measurable evidence for operational scale.

Customer empathy

15%

Shows specific decisions and measurable evidence for customer empathy.

They look hardest for product judgment, marketplace systems, experimentation, operational scale.

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 product judgment
  • ·Practice marketplace systems
  • ·Practice experimentation

Days 6–8

Company-context cases

  • ·Design a two-sided marketplace feature.
  • ·Diagnose a decline in order conversion.
  • ·Design dispatch, ETA, or ranking at peak load.

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