PDL logo

Growth · Software Engineer Interview Guide

Interview language: English

How to Pass the PDL Software Engineer Interview in 2026

The PDL DNA (TL;DR)

The technical screen at PDL often assesses a candidate's practical understanding of how People Data Labs' APIs integrate into client workflows, specifically looking for examples of leveraging large datasets to create measurable business impact. They value clear articulation of strategic data application.

The PDL 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 PDL interview outcomes, avoid these common traps:

  • Using excessive memory to store all historical updates.
  • Describing a confrontational or unproductive interaction.
  • Inefficiently iterating through all company-employee relationships for each query.
  • Failing to add meaningful comments or improve variable naming.

Test Yourself: Real PDL Questions

Three real prompts pulled from our database.

Type · Influence

Tell me about a time you had to influence a difficult stakeholder (internal or external) to adopt your recommendation or perspective.

Type · Data Modeling

PDL stores vast amounts of information about companies and people. How would you design a schema for storing and querying relationships between companies (e.g., parent-subsidiary, acquisitions) and between people and companies (e.g., employment history)? Consider the trade-offs between different database technologies.

Type · Scalability

Imagine PDL's user base grows by 10x in a year. Our core API, which enriches company and person data, currently handles millions of requests per day. How would you scale our data ingestion and enrichment pipeline to handle this increased load while maintaining low latency?

+ many more questions, signals, and worked examples

Sign up to unlock the full PDL grading rubric

Unlock the PDL rubric, free

PDL Interview Question Bank

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

9 of 18 questions shown

1

Recruiter Screen

1
  1. 1

    Type · Motivation

    What interests you about People Data Labs specifically, and how do you see your skills contributing to our mission of making B2B data more accessible and usable?
2

Coding Screen

3
  1. 2

    Type · Algorithmic

    Given a stream of company records, each with a unique ID and a list of associated employee IDs, design an algorithm to efficiently find all companies that have at least K employees who have recently updated their profiles. Assume 'recently updated' means within the last 24 hours.
  2. 3

    Type · Data Structures

    Implement a function that takes a list of company names and returns a compressed representation. For example, 'People Data Labs Inc.' could become 'PDL'. The compression should prioritize common abbreviations and acronyms found in business contexts. You can assume a predefined dictionary of common abbreviations.
  3. + 1 more questions in this round (sign up to unlock)
3

System Design

3
  1. 4

    Type · Scalability

    Imagine PDL's user base grows by 10x in a year. Our core API, which enriches company and person data, currently handles millions of requests per day. How would you scale our data ingestion and enrichment pipeline to handle this increased load while maintaining low latency?
  2. 5

    Type · Data Modeling

    PDL stores vast amounts of information about companies and people. How would you design a schema for storing and querying relationships between companies (e.g., parent-subsidiary, acquisitions) and between people and companies (e.g., employment history)? Consider the trade-offs between different database technologies.
  3. + 1 more questions in this round (sign up to unlock)
4

Onsite Coding

4
  1. 6

    Type · Algorithmic

    Given a large dataset of company profiles, each with a list of technologies used, write a function to find the top N most frequently co-occurring technology pairs. For example, if many companies use 'React' and 'Node.js' together, that pair should rank highly.
  2. 7

    Type · Debugging

    A customer reports that our company enrichment API is sometimes returning incorrect employee counts for large enterprises. Here's a simplified version of the code that calculates this count. Debug and fix the issues.
  3. + 2 more questions in this round (sign up to unlock)
5

Behavioral / Leadership

7
  1. 8

    Type · Ownership

    Tell me about a time you took initiative to solve a problem or improve a process that wasn't explicitly part of your job description.
  2. 9

    Type · Influence

    Tell me about a time you had to influence a difficult stakeholder (internal or external) to adopt your recommendation or perspective.
  3. + 5 more questions in this round (sign up to unlock)

Unlock all 18 PDL questions, free

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

Unlock all 18 PDL questions

Interview tracks at PDL

How PDL's DNA translates across functions. Pick your role.

Compare PDL with similar employers

Same DNA, different bar. Browse the closest companies in our database and see how their loops differ.

Practice PDL interviews end-to-end

FAQ

WorkfiveExplore careers on Workfive

Unlock the free PDL interview guide

Sign up