# Entry
**Role:** Software Engineer · **Level:** Software Engineer
**Company:** [Hubspot](https://scaleengineer.com/companies/hubspot)
**Difficulty:** Medium
**Salary:** US$75000 - US$95000
**Experience:** 0 - 2
**Timeline:** ~14 days
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.
Canonical: https://scaleengineer.com/interviews/hubspot/software-engineer-software-engineer
---
## Overall evaluation

- Technical and Behavioral Assessment
- Candidate Attributes

## Questions 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.

## Preparation tips

### lists

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

### studyPlan

- {"title":"Data Structures and Algorithms","longDescription":"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.","shortDescription":"Weeks 1-2: Data Structures & Algorithms. Practice 2-3 problems daily."}
- {"title":"System Design Basics","longDescription":"Week 3: Concentrate on System Design fundamentals. Understand concepts like scalability, load balancing, databases (SQL vs. NoSQL), caching, and APIs. Review common system design interview questions.","shortDescription":"Week 3: System Design Fundamentals. Focus on scalability and databases."}
- {"title":"Behavioral and Cultural Fit","longDescription":"Week 4: Prepare for behavioral and situational questions. Reflect on past experiences related to teamwork, problem-solving, handling challenges, and learning. Align your answers with Hubspot's values.","shortDescription":"Week 4: Behavioral & Situational Questions. Align with Hubspot values."}

## Location differences

- {"location":"North America","differences":{"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."],"interviewFocus":["Understanding of core computer science concepts.","Ability to write clean and efficient code.","Problem-solving and analytical skills.","Collaboration and communication skills."],"commonQuestions":["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?"]}}
- {"location":"Europe","differences":{"tips":["Brush up on fundamental programming concepts and data structures.","Prepare examples of teamwork and problem-solving from academic or personal projects.","Show enthusiasm for learning and contributing to the team."],"interviewFocus":["Foundational programming knowledge.","Understanding of software development lifecycle.","Teamwork and communication.","Adaptability to different work environments."],"commonQuestions":["Can you explain the concept of object-oriented programming in your own words?","What are the differences between a list and a tuple in Python?","Describe a situation where you had to work with a team to achieve a common goal."]}}

## Round 1: Coding Challenge
**Type:** Technical Interview - Coding · **Difficulty:** Medium · **Duration:** 45 min
Live coding session to assess problem-solving and coding skills.
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.
**Interviewers 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 criteria:** Correctness of the solution.; Efficiency of the algorithm (time and space complexity).; Code clarity and readability.; Ability to explain the approach and trade-offs.
**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.
## Questions

- Given a binary tree, find its inorder traversal.
- Implement a function to check if a string is a palindrome.
- Find the kth smallest element in an unsorted array.

## Preparation tips

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

## Round 2: Technical Deep Dive
**Type:** Technical Interview - Concepts · **Difficulty:** Medium · **Duration:** 45 min
Discussion on technical concepts and past projects.
This round focuses on your technical knowledge beyond just coding. You'll be asked about your past projects, internships, or academic work. Expect questions on data structures, algorithms, operating systems, databases, and potentially introductory system design concepts. The interviewer wants to understand your technical depth and how you apply your knowledge.
**Interviewers look for:** Solid grasp of core CS principles.; Ability to articulate technical details of projects.; Logical thinking and problem-solving skills.; Curiosity and willingness to learn.
**Evaluation criteria:** Depth of understanding of technical concepts.; Ability to explain past projects and technical contributions.; Problem-solving approach and analytical thinking.; Knowledge of software development best practices.
**Common rejection reasons:** Inability to explain past projects or technical decisions.; Lack of clarity on contributions to team projects.; Poor understanding of fundamental computer science concepts.; Difficulty in articulating technical solutions.
## Questions

- Explain the difference between TCP and UDP.
- Describe a project where you had to optimize performance. What did you do?
- What is a database index and why is it useful?

## Preparation tips

- Review your resume and be ready to discuss any project or experience in detail.
- Brush up on fundamental computer science topics.
- Prepare to explain the architecture and technical challenges of projects you've worked on.
- Think about the trade-offs you made in your technical decisions.

## Round 3: Manager/Behavioral Interview
**Type:** Behavioral Interview · **Difficulty:** Medium · **Duration:** 45 min
Assesses cultural fit, teamwork, and behavioral competencies.
This interview focuses on your behavioral and cultural fit. The hiring manager will ask questions about your past experiences, how you handle different situations (e.g., conflict, failure, success), your motivations, and your career goals. They want to understand how you work with others and if you align with Hubspot's core values.
**Interviewers look for:** Evidence of collaboration and teamwork.; Adaptability and a growth mindset.; How candidates handle challenges and feedback.; Enthusiasm for Hubspot's mission and products.; Self-awareness and honesty.
**Evaluation criteria:** Alignment with Hubspot's culture and values.; Teamwork and collaboration skills.; Problem-solving approach in non-technical scenarios.; Communication and interpersonal skills.; Motivation and career aspirations.
**Common rejection reasons:** Poor communication or interpersonal skills.; Lack of alignment with company values.; Inability to provide specific examples for behavioral questions.; Negative attitude or lack of enthusiasm.
## Questions

- Tell me about a time you disagreed with a teammate. How did you resolve it?
- Describe a situation where you had to adapt to a significant change.
- What are your career goals for the next 3-5 years?

## Preparation tips

- Research Hubspot's company culture and values.
- Prepare specific examples using the STAR method for common behavioral questions.
- Be ready to discuss your strengths, weaknesses, and how you handle feedback.
- Think about why you want to work at Hubspot specifically.
- Prepare questions to ask the hiring manager about the team, role, and culture.