Scale Engineer

Entry

Software EngineerSoftware EngineerMedium

Hubspot's Software Engineer (Entry Level) interview process is designed to assess a candidate's foundational technical skills, problem-solving abilities, and cultural fit within the company. The process typically involves several stages, starting with an initial screening and progressing through technical assessments and behavioral interviews.

Rounds·3

Timeline·~14d

Experience·0 - 2 yrs

Comp band·US$75000 - US$95000

Interview time·135 min

Evaluation

What they measure.

  • Technical Proficiency: Assessed through coding challenges and technical discussions.
  • Problem-Solving Skills: Evaluated by how candidates approach and solve given problems.
  • Communication Skills: Observed throughout all interactions, including explaining thought processes.
  • Cultural Fit: Assessed through behavioral questions about teamwork, learning, and values.
  • Enthusiasm and Drive: Gauged by passion for technology and career growth.

Preparation

How to prepare.

Tips

  1. Review fundamental computer science concepts: data structures, algorithms, operating systems, databases.
  2. Practice coding problems on platforms like LeetCode, HackerRank, or Coderbyte, focusing on common patterns.
  3. Understand Hubspot's mission, values, and products. Research recent company news and initiatives.
  4. Prepare to discuss your resume in detail, highlighting relevant projects, internships, and technical skills.
  5. Develop STAR method (Situation, Task, Action, Result) responses for behavioral questions.
  6. Prepare thoughtful questions to ask the interviewer about the role, team, and company culture.

Study plan

Fig · Study plan — 03 phases

01 / 03
01

Phase 01 of 03

Data Structures and Algorithms

Weeks 1-2: Data Structures & Algorithms. Practice 2-3 problems daily.

Weeks 1-2: Focus on Data Structures (Arrays, Linked Lists, Trees, Graphs, Hash Tables) and Algorithms (Sorting, Searching, Recursion, Dynamic Programming). Practice implementing these in your preferred language. Solve at least 2-3 problems per day.

Questions

Commonly asked.

  • Tell me about yourself.
  • Why are you interested in Hubspot?
  • Describe a time you faced a technical challenge and how you overcame it.
  • What are your strengths and weaknesses?
  • How do you handle constructive criticism?
  • Write a function to reverse a string.
  • Given an array of integers, find the two numbers that add up to a specific target.
  • Explain the difference between a process and a thread.
  • How would you design a URL shortener?
  • Tell me about a time you failed and what you learned from it.

Locations

Regional differences.

Fig · Regions — 02 locations

01 / 02

Location

North America

Interview focus

Understanding of core computer science concepts.Ability to write clean and efficient code.Problem-solving and analytical skills.Collaboration and communication skills.

Common questions

  • Tell me about a challenging project you worked on during your internship or academic career.
  • How do you approach debugging a complex issue?
  • Describe a time you had to learn a new technology quickly. How did you do it?

Tips

  • Be prepared to discuss your projects in detail, highlighting your contributions and the technologies used.
  • Practice coding problems on platforms like LeetCode or HackerRank, focusing on data structures and algorithms.
  • Research Hubspot's products and values to demonstrate your interest and alignment.

Rounds

Round-by-round.

Expand a step for evaluation criteria, sample questions, and prep notes.

Med

Technical Interview - Coding · 45 min · Software Engineer

This round typically involves a live coding session, often conducted via a shared online editor. You will be asked to solve one or two coding problems that test your understanding of data structures and algorithms. The interviewer will assess your ability to write functional code, explain your thought process, consider edge cases, and optimize your solution.

What they look for

A systematic approach to problem-solving.Clean, well-structured, and efficient code.Understanding of time and space complexity.Ability to communicate technical ideas clearly.

Evaluation

  • Correctness of the solution.
  • Efficiency of the algorithm (time and space complexity).
  • Code clarity and readability.
  • Ability to explain the approach and trade-offs.

Sample questions

  • Given a binary tree, find its inorder traversal.

    Data StructuresTreesRecursion

  • Implement a function to check if a string is a palindrome.

    StringsAlgorithms

  • Find the kth smallest element in an unsorted array.

    ArraysAlgorithmsSorting

Prep for this round

  1. 01Practice coding on platforms like LeetCode, HackerRank, or Coderbyte.
  2. 02Focus on common data structures (arrays, linked lists, trees, hash maps) and algorithms (sorting, searching, recursion).
  3. 03Practice explaining your code and thought process out loud.
  4. 04Be prepared to discuss the time and space complexity of your solutions.
  5. 05Ask clarifying questions if the problem statement is unclear.

Common rejection reasons

  • ×Inability to articulate thought process.
  • ×Poor coding practices (e.g., inefficient solutions, lack of comments).
  • ×Failure to consider edge cases.
  • ×Lack of understanding of fundamental data structures and algorithms.

DSA

Coding questions at Hubspot.

Frequently reported on Hubspot loops

View all at Hubspot

Other guides

More at Hubspot.