
HubSpot software engineer candidates commonly report a timed API take-home, a recruiter or behavioral screen, and live coding plus system design rounds, often including a Netflix-style design prompt.
$174K
Avg. Base Comp
$240K
Avg. Total Comp
Not reported
Typical Rounds
Not reported
Process Length
Many HubSpot software engineer candidates describe the same opening: a timed take-home of about three hours. Several report fetching data from an API, transforming it to an exact specification, and posting it back. One candidate says the endpoint only returned a 200 when the output was exactly right, so validate your transformation against the spec and check edge cases before you submit, and leave time for tests.
The live rounds, as candidates describe them, pair easier coding with demanding explanation. Reported coding prompts include merging two arrays and a hashmap problem, alongside medium-to-hard LeetCode-style questions in at least one loop. Some candidates say interviewers wanted every edge case and test case spelled out, and one was told an O(n) sliding window answer was more complicated than needed. JavaScript fundamentals such as closures and memoization came up for some candidates, and one was rejected after missing a single JavaScript question.
System design is a recurring final-round component. Several candidates report a Netflix-style streaming design, with follow-ups on APIs, technology choices, caching and failure handling. Another was asked how to build Calendly.
Behavioral screens appear to be standard: why HubSpot, teamwork, giving feedback to a peer, or handling a coworker's mistake. One candidate was cut after a first behavioral round. Outcomes in the reports are mixed, with some offers and several rejections.
Synthesized from 41 candidate reports by our editorial team.
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Real interview reports from people who went through the Hubspot process.
I interviewed with HubSpot for a Software Engineer position. The process included a DSA round followed by a system design round. The coding interview was professional and gave me time to explain my thought process. The DSA question was familiar from commonly shared interview experiences, so it felt relatively straightforward with preparation.
The system design round focused on scaling a system. My interviewer was not very engaged, and the discussion felt one-sided, which made it harder to demonstrate my design thinking and discuss trade-offs. Overall, the process was organized, but my experience varied significantly between rounds.
Prep tip from this candidate
Prepare to explain trade-offs in a scalable-system design discussion, alongside DSA problem solving.
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Sourced from candidate reports and verified by our team.
Topics based on recent interview experiences.
Featured question at Hubspot
Given two sorted lists, write a function to merge them into one sorted list.
| Question | |
|---|---|
| Address Schema | |
| Target Indices | |
| Employee Benefits Outreach | |
| String Palindromes | |
| Scalable Data Pipelines | |
| Marketing Workflow Optimization | |
| Client Solution Pushback | |
| Why Do You Want to Work With Us | |
| Weighted Average Sales | |
| Reddit-like Notifications | |
| Dropbox Database | |
| Meta in an Emerging Market | |
| 2nd Highest Salary | |
| Top Three Salaries | |
| Closest SAT Scores | |
| Subscription Overlap | |
| Empty Neighborhoods | |
| Monthly Customer Report | |
| Rolling Bank Transactions | |
| Prime to N | |
| Top 3 Users | |
| Random SQL Sample | |
| String Shift | |
| Comments Histogram | |
| Largest Salary by Department | |
| Upsell Transactions | |
| Raining in Seattle | |
| Minimum Change | |
| Customer Orders |
Synthesized from candidate reports. Individual experiences may vary.
Candidates report a recruiter or HR conversation of roughly 15-30 minutes covering your background, resume and why HubSpot. Questions are described as fairly standard. Prepare a concise pitch, a reason for choosing HubSpot, and a feedback or teamwork story.
Many candidates report a roughly three-hour assessment where you fetch data from an endpoint, transform it exactly to spec, and post it back. One candidate says the endpoint returned a 200 only for exactly correct output and ran out of time for tests. Leave time to validate output.
Candidates typically describe STAR-style questions about teamwork, giving feedback to a peer, and how they handled a coworker's mistake. One candidate was rejected after this round. Have specific, calm examples ready.
Reported prompts include merging two arrays and a hashmap problem, and one loop included medium-to-hard LeetCode-style questions. Some candidates also report JavaScript fundamentals such as closures and memoization. Several say the bar was completeness: stating requirements, covering edge cases, and writing test cases.
Candidates most often report a Netflix-style design covering browsing by category, playback at different resolutions, and resuming position, with follow-ups on APIs, caching, and failure handling. Calendly and a standalone table component for a website were also mentioned. Expect follow-ups beyond a high-level diagram.