Asana

Software Engineer

Software EngineerL3Medium

Asana's Software Engineer L3 interview process is designed to assess a candidate's technical proficiency, problem-solving abilities, and cultural fit within the company. The process typically involves multiple rounds, including technical interviews focusing on data structures, algorithms, and system design, as well as behavioral interviews to understand collaboration and communication skills.

Rounds

3

Timeline

~7 days

Experience

1 - 3 yrs

Salary Range

US$100000 - US$130000

Total Duration

150 min

Overall Evaluation Criteria

Technical Skills

Problem-solving skills
Algorithmic knowledge
Data structure proficiency
System design capabilities
Coding proficiency and best practices
Communication skills
Teamwork and collaboration
Adaptability and learning agility
Cultural alignment with Asana's values

Communication

Ability to articulate thought process
Clarity of explanations
Active listening
Ability to ask clarifying questions

Behavioral and Cultural Fit

Collaboration with interviewers
Handling feedback
Demonstrating a positive attitude
Alignment with Asana's mission and values

Preparation Tips

1Review fundamental data structures (arrays, linked lists, trees, graphs, hash maps) and algorithms (sorting, searching, dynamic programming, graph traversal).
2Practice coding problems on platforms like LeetCode, HackerRank, or Coderbyte, focusing on medium-difficulty problems.
3Understand common system design concepts such as scalability, availability, reliability, and trade-offs.
4Prepare to discuss your past projects in detail, focusing on your contributions, challenges, and learnings.
5Research Asana's products, mission, and values to understand how your skills and experience align.
6Practice answering behavioral questions using the STAR method (Situation, Task, Action, Result).
7Prepare questions to ask the interviewer about the role, team, and company culture.

Study Plan

1

Data Structures and Algorithms Fundamentals

Weeks 1-2: Data Structures & Basic Algorithms. Implement and analyze common DS. Practice sorting and searching.

Weeks 1-2: Focus on core data structures (arrays, linked lists, stacks, queues, trees, graphs, hash tables) and their common operations. Practice implementing them and analyzing their time and space complexity. Cover basic algorithms like sorting (quicksort, mergesort) and searching (binary search).

2

Advanced Algorithms and Object-Oriented Design

Weeks 3-4: Advanced Algorithms & OOD. Focus on DP, graphs, strings. Practice medium problems. Introduce OOD.

Weeks 3-4: Dive into more advanced algorithms such as dynamic programming, graph algorithms (BFS, DFS, Dijkstra's), and string manipulation. Work on medium-level problems that combine multiple concepts. Start exploring object-oriented design principles.

3

System Design

Weeks 5-6: System Design. Learn scalability, caching, databases, queues. Practice designing common systems.

Weeks 5-6: Concentrate on system design. Learn about concepts like load balancing, caching, databases (SQL vs. NoSQL), message queues, and API design. Practice designing common systems like URL shorteners, social media feeds, or chat applications.

4

Behavioral Preparation and Questions

Week 7: Behavioral Prep & Questions. Use STAR method for behavioral questions. Prepare questions for interviewers.

Week 7: Focus on behavioral preparation. Review your resume and identify key projects and experiences. Prepare stories using the STAR method for common behavioral questions related to teamwork, problem-solving, leadership, and handling failure. Also, prepare thoughtful questions to ask the interviewers.

Commonly Asked Questions

Given an array of integers, find the contiguous subarray with the largest sum.
Design a system to count the number of unique visitors to a website.
Explain the concept of recursion and provide an example.
How would you optimize a slow database query?
Tell me about a time you had to deal with ambiguity in a project.
What are your strengths and weaknesses?
Describe a situation where you had to influence a decision.
How do you stay updated with new technologies?

Location-Based Differences

San Francisco

Interview Focus

System Design (especially for distributed systems)Problem-solving and algorithmic thinkingCommunication and collaboration skills

Common Questions

How would you design a URL shortener?

Explain the difference between a process and a thread.

Describe a challenging technical problem you solved.

Tell me about a time you disagreed with a teammate.

Tips

For San Francisco: Emphasize experience with scalable systems and cloud technologies (AWS, GCP).
For New York: Highlight experience with fast-paced environments and agile methodologies.
For international offices: Be prepared to discuss cultural nuances and global collaboration.

New York

Interview Focus

Data Structures and AlgorithmsObject-Oriented DesignBehavioral aspects related to teamwork and adaptability

Common Questions

How would you design a news feed?

What are the trade-offs between SQL and NoSQL databases?

Describe a project you are proud of.

How do you handle constructive criticism?

Tips

For San Francisco: Focus on demonstrating a strong understanding of core computer science principles.
For New York: Showcase your ability to adapt to changing requirements and deliver results quickly.
For international offices: Be ready to discuss your experience working in diverse teams and understanding different market needs.

Process Timeline

1
Data Structures and Algorithms45m
2
System Design60m
3
Behavioral and Cultural Fit45m

Interview Rounds

3-step process with detailed breakdown for each round

1

Data Structures and Algorithms

Solve coding problems using data structures and algorithms. Focus on approach, efficiency, and code quality.

Technical Interview (Coding)Medium
45 minSoftware Engineer

This round focuses on your ability to solve coding problems using data structures and algorithms. You will be asked to write code on a whiteboard or a shared editor to solve a specific problem. The interviewer will assess your problem-solving approach, your understanding of data structures and algorithms, and your coding style.

What Interviewers Look For

A systematic approach to problem-solving.Ability to break down complex problems.Proficiency in writing clean, efficient code.Understanding of time and space complexity.

Evaluation Criteria

Correctness of the solution
Efficiency of the solution (time and space complexity)
Code clarity and readability
Problem-solving approach

Questions Asked

Given a binary tree, invert the tree.

Data StructuresAlgorithmsTreesRecursion

Find the kth smallest element in a sorted matrix.

Data StructuresAlgorithmsArraysBinary Search

Preparation Tips

1Practice coding on a whiteboard or in a plain text editor.
2Think out loud and explain your thought process.
3Consider edge cases and test your solution.
4Be prepared to discuss time and space complexity.

Common Reasons for Rejection

Inability to articulate thought process clearly.
Lack of understanding of fundamental data structures and algorithms.
Poor coding practices or syntax errors.
Inability to solve the given problem within the time limit.
2

System Design

Design a scalable software system. Focus on architecture, components, trade-offs, and scalability.

System Design InterviewMedium
60 minSenior Software Engineer / Engineering Manager

This round assesses your ability to design scalable and reliable software systems. You will be given a high-level problem (e.g., design a URL shortener, design a social media feed) and asked to propose a system architecture. The focus is on your understanding of distributed systems, databases, caching, and trade-offs.

What Interviewers Look For

A structured approach to system design.Knowledge of distributed systems concepts.Ability to make informed design decisions.Consideration of various system components (databases, caching, APIs, etc.).

Evaluation Criteria

Scalability of the design
Reliability and availability
Clarity and completeness of the design
Understanding of trade-offs
Ability to handle constraints

Questions Asked

Design a Twitter feed.

System DesignScalabilityDatabasesAPIs

Design a rate limiter.

System DesignDistributed SystemsAlgorithms

Preparation Tips

1Study common system design patterns and architectures.
2Understand concepts like load balancing, caching strategies, database sharding, and message queues.
3Practice designing various systems and articulating your choices.
4Be prepared to discuss trade-offs and justify your decisions.

Common Reasons for Rejection

Inability to design a scalable and robust system.
Lack of understanding of trade-offs in system design.
Not considering failure scenarios or edge cases.
Poor communication of design choices.
3

Behavioral and Cultural Fit

Assess behavioral competencies and cultural fit. Use STAR method for past experiences.

Behavioral InterviewMedium
45 minHiring Manager / Senior Team Member

This round focuses on your behavioral and cultural fit. You will be asked questions about your past experiences, how you handle different situations, and your motivations. The goal is to understand how you work with others, how you approach problems, and whether you align with Asana's values.

What Interviewers Look For

Evidence of collaboration and teamwork.Ability to handle challenges and learn from mistakes.Alignment with Asana's mission and values.Strong communication and self-awareness.

Evaluation Criteria

Teamwork and collaboration skills
Problem-solving approach in past experiences
Adaptability and learning agility
Alignment with Asana's culture and values
Communication and interpersonal skills

Questions Asked

Tell me about a time you failed and what you learned from it.

BehavioralLearningResilience

Describe a situation where you had to work with a difficult colleague.

BehavioralTeamworkConflict Resolution

Preparation Tips

1Prepare examples using the STAR method for common behavioral questions.
2Reflect on your strengths, weaknesses, and career goals.
3Understand Asana's mission, values, and culture.
4Be genuine and enthusiastic in your responses.

Common Reasons for Rejection

Lack of alignment with company values.
Poor communication or interpersonal skills.
Inability to provide specific examples for behavioral questions.
Negative attitude or lack of enthusiasm.

Commonly Asked DSA Questions

Frequently asked coding questions at Asana

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Product of Array Except SelfMEDIUMK Closest Points to OriginMEDIUMMaximum Repeating SubstringEASY