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Growth · Software Engineer Interview Guide

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Interview language: English

How to Pass the People.ai Software Engineer Interview in 2026

The People.ai DNA (TL;DR)

People.ai's "How We Help" principle underpins interview evaluations, focusing on a candidate's proven capacity to leverage data for direct, measurable impact on the Revenue Intelligence Platform. They assess for practical application of insights that drive business outcomes.

The People.ai Interview Loop

Your onsite loop will typically consist of 5 rounds.

  1. 1

    Round 1

    Recruiter Screen
    Motivation, role fit, logistics.
  2. 2

    Round 2

    Coding Screen
    LeetCode-medium algorithmic problems under time pressure.
  3. 3

    Round 3

    System Design
    Distributed systems, trade-offs at scale, architecture under constraints.
  4. 4

    Round 4

    Onsite Coding
    LeetCode-hard, debugging, code clarity, edge cases.
  5. 5

    Round 5

    Behavioral / Leadership
    Past evidence of ownership, influence, resolving conflict.

The Danger Zone: Top Reasons Candidates Fail

Based on our database of People.ai interview outcomes, avoid these common traps:

  • Focusing only on the technology without mentioning the business impact or customer problems.
  • Failing to consider edge cases like overlapping keywords or empty transcripts.
  • Inefficient string searching or data structure for keyword lookup.
  • Overlooking edge cases like missing data fields or incorrect data types.

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Test Yourself: Real People.ai Questions

Three real prompts pulled from our database.

Type · architecture

Design a system to automatically categorize sales activities (emails, calls, meetings) from various sources (e.g., Gmail, Outlook, Zoom) and associate them with the correct CRM contacts and accounts. Consider scalability for millions of users and activities.

Type · code_quality

Refactor the following code snippet, which processes CRM data, to improve its readability, maintainability, and testability. Explain your choices.

Type · motivation

What interests you about People.ai specifically, beyond the general appeal of working at a SaaS company?

+ many more questions, signals, and worked examples

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People.ai Interview Question Bank

A sample from our database, grouped by round. Sign up to see the full set.

9 of 16 questions shown

1

Recruiter Screen

1
  1. 1

    Type · motivation

    What interests you about People.ai specifically, beyond the general appeal of working at a SaaS company?
2

Coding Screen

3
  1. 2

    Type · algorithmic

    Given a stream of sales call transcripts, write a function to identify and count the occurrences of specific keywords related to product features (e.g., 'integration', 'demo', 'pricing') within a given time window. Assume transcripts are processed sequentially.
  2. 3

    Type · data_structures

    Implement a system to track the 'engagement score' for sales leads based on their interactions (emails, calls, meetings) logged in a CRM. The score should decay over time. Design the data structure to efficiently query leads with scores above a certain threshold.
  3. + 1 more questions in this round (sign up to unlock)
3

System Design

3
  1. 4

    Type · architecture

    Design a system to automatically categorize sales activities (emails, calls, meetings) from various sources (e.g., Gmail, Outlook, Zoom) and associate them with the correct CRM contacts and accounts. Consider scalability for millions of users and activities.
  2. 5

    Type · scalability

    How would you design a real-time notification system for sales reps when a high-priority prospect engages with their content (e.g., opens an email, visits a pricing page)? Consider the latency requirements and the number of potential events.
  3. + 1 more questions in this round (sign up to unlock)
4

Onsite Coding

3
  1. 6

    Type · algorithmic

    Implement a function that takes a list of sales meeting events (start time, end time) and merges overlapping or adjacent meetings into single consolidated events. For example, `[(1, 3), (2, 4), (6, 7)]` should become `[(1, 4), (6, 7)]`.
  2. 7

    Type · code_quality

    Refactor the following code snippet, which processes CRM data, to improve its readability, maintainability, and testability. Explain your choices.
  3. + 1 more questions in this round (sign up to unlock)
5

Behavioral / Leadership

6
  1. 8

    Type · Ownership

    Tell me about a time you took ownership of a project or problem that was outside your direct responsibility. What was the situation, what did you do, and what was the outcome?
  2. 9

    Type · ownership

    Tell me about a time you encountered a significant technical challenge or bug in a production system that was impacting users. What was your approach to diagnosing, fixing, and preventing recurrence?
  3. + 4 more questions in this round (sign up to unlock)

Unlock all 16 People.ai questions, free

No credit card. Every question with its framework, the grading signals interviewers score against, and a worked answer for each.

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Interview tracks at People.ai

How People.ai's DNA translates across functions. Pick your role.

Compare People.ai with similar employers

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Sample answers

What a strong answer to these People.ai interview questions shows.

Design a system to automatically categorize sales activities (emails, calls, meetings) from various sources (e.g., Gmail, Outlook, Zoom) and associate them with the correct CRM contacts and accounts. Consider scalability for millions of users and activities.

A strong answer shows: Modular design with clear separation of concerns (ingestion, processing, matching, storage).; Strategies for handling data variety and volume.; Robust matching logic (e.g., fuzzy matching, heuristics).; Consideration of scalability, reliability, and extensibility.; Awareness of security and privacy implications..

Refactor the following code snippet, which processes CRM data, to improve its readability, maintainability, and testability. Explain your choices.

A strong answer shows: Improved code structure, naming, and modularity.; Application of relevant design patterns.; Enhanced testability (e.g., dependency injection, smaller functions).; Clear explanation of refactoring decisions and benefits.; No introduction of new bugs..

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