Greenhouse Software Engineer Interview Guide with Real Questions

Aletha Payawal
Written by Aletha Payawal
Shane Frykholm
Reviewed by Shane Frykholm
Interview Query mascot

Introduction

Candidates report a 6 to 10 step process over about 4 to 5 weeks end to end, starting with recruiter and hiring manager screens, moving through a take home, then a multi interview virtual onsite, and finishing with final conversations before a decision. The Greenhouse Software Engineer loop focuses heavily on practical front end and product engineering signals, including a React coding round plus a product collaboration interview, alongside system design. A defining feature is the large, same-day virtual onsite block, candidates describe back to back rounds that include two system design sessions and separate coding and collaboration interviews.

Interview Topics

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Data Structures & Algorithms
(182)
SQL
(159)
Machine Learning
(34)
Data Modeling
(24)
Data Pipelines
(20)

The Greenhouse Software Engineer Interview Process

1

Recruiter Screen

The process opens with a phone or Zoom call with a member of the Talent Acquisition team, lasting 30 to 45 minutes. Candidates report this stage covers your background, interest in Greenhouse, and a walkthrough of what the full process will look like, including a heads-up on total time commitment. One candidate noted that the recruiter “provided so much detail about the company, the position and the interview process,” making it one of the more informative first calls they had experienced.

Based on candidate reports

Recruiter Screen
2

Hiring Manager Interview

A 30-minute video call with the engineering manager follows the recruiter screen. Greenhouse runs this as a video-off Zoom call, a practice the company says is intentional to mimic a phone screen before face-to-face stages begin. The conversation is primarily behavioral, focused on your experience, how you work on a team, and your alignment with the scope of the role.

Based on candidate reports

Hiring Manager Interview
3

Technical Screen

The initial coding round takes place in a CoderPad environment and runs approximately one hour. Candidates receive a single multi-part problem designed to simulate real work on Greenhouse’s platform, with reported questions including domain-modeled problems such as workflow structures and converting CSV data, rather than abstract algorithm puzzles. One candidate described the interviewer as “receptive and helpful” and said the session “created a collaborative environment.”

Based on candidate reports

Technical Screen
4

Technical Assessments

Candidates who pass the initial screen move into a block of three additional technical assessments, bringing the total coding time to roughly four hours across the process. Greenhouse explicitly states these assessments simulate the work an engineer would do on their own recruiting platform, and for certain roles, transparent use of AI tools like ChatGPT or Copilot is permitted, provided the candidate can explain their prompt decisions and technical reasoning in depth. One candidate reported being told during the recruiter screen that the full process amounted to “approximately seven hours, nearly a full workday.”

Based on candidate reports

Technical Assessments
5

Virtual Onsite Loop

The virtual onsite runs as multiple back-to-back interviews covering system design, frontend React coding, a responsibilities and requirements discussion, product collaboration, and a collaboration and culture round. The product collaboration and cultural fit interviews are each 30 minutes, and at least one candidate reported as many as 8 rounds total in a single onsite loop. One candidate put it plainly: “8 rounds. And then sent an email saying I failed round 3.”

Based on candidate reports

Virtual Onsite Loop

Challenge

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How prepared are you for working as a Software Engineer at Greenhouse?

Featured Interview Question at Greenhouse

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Greenhouse Software Engineer Interview Questions

QuestionTopicDifficulty
SQL
Easy

Write a SQL query to select the 2nd highest salary in the engineering department.

Note: If more than one person shares the highest salary, the query should select the next highest salary.

Example:

Input:

employees table

Column Type
id INTEGER
first_name VARCHAR
last_name VARCHAR
salary INTEGER
department_id INTEGER

departments table

Column Type
id INTEGER
name VARCHAR

Output:

Column Type
salary INTEGER
SQL
Medium
Data Structures & Algorithms
Easy

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