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Liftoff Interview Questions
& Process

Real candidates share what happened, how many rounds they had,
and how the experience turned out.

Based on 163 interview experiences · FREE TO READ

3.5 Rounds average
Average Typical difficulty
76.7% Positive experience

Which role are you interviewing for?

30 roles · 163 reports

Candidate interview experiences

First-hand accounts from people who interviewed at Liftoff.

Showing 4 of 163
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Machine Learning Engineer

Engineering · nearly a year ago

Mid Average Positive experience Accept offer 2 rounds
Interview process
Recruiter call Technical screen Presentation Offer
Interview formats
Technical Presentation

I interviewed at LO in Dec 2025. The whole thing took four weeks over the Christmas break. The recruiter and interviewers were all thoughtful during the process, which made me feel considered. They didn't ask too many domain-specific questions related to my ML background, but there was a paper discussion and a statistics-focused round. After all the interviews, the recruiter contacted me the next day, as I had offers and needed to make a decision. The HR team was very responsive, which was definitely a plus.

Confirmed questions2 questions
  • Discuss statistics question over CDF for couple of scenarios
  • Discuss ML paper of self-supervised learning
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Senior Account Manager

Sales · nearly a year ago

Senior Average Positive experience Accept offer 4 rounds
Interview process
Recruiter call Phone screen Presentation Onsite
Interview formats
Behavioral Presentation Technical

First, there was a recruiter screening. Then, a hiring manager screen. After that, I had an assignment where I had to make a 6-slide presentation. Two slides were about me and why I'm a good fit and how I stand out. The other four slides were about a business problem I encountered, how I solved it, and how I drove revenue. Finally, I had a trio of interviews with the Director, VP of Demand, and the hiring manager.

Confirmed questions6 questions
  • Tell me about a time you led a project that resulted in increased revenue.
  • Can you explain a situation where you spearheaded an initiative that boosted revenue?
  • Describe an instance where you managed a project that drove revenue.
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Strategist

Other · a year ago

Mid Difficult Positive experience No offer 6 rounds
Interview process
Recruiter call Take home Technical screen Onsite Presentation
Interview formats
Behavioral Technical Case Presentation

It was a long interview process, about a month from start to finish. There were 5 interviews plus a take home assignment. First, a recruiter call, which was surprisingly thorough, like a real interview, the recruiter knew their stuff. Then, a take home test that took about 2 hours, involving analyzing data and answering questions about it. After that, I spoke with the hiring manager. Then, three 1-on-1 chats with different team members. It involved a lot of case studies. The recruiter was really great, super helpful and responsive, even reaching out after I wasn't selected. It would have been nice to get some specific feedback though, since I was only getting positive feedback all along, even from the final recruiter call.

Confirmed questions5 questions
  • Can you share your past experiences and how you've tackled complex problems in prior roles?
  • Tell me about a situation where you had to analyze data and make decisions based on it.
  • Present a case study that demonstrates your critical thinking and problem-solving abilities.
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Liftoff

Staff Software Engineer

Engineering · more than a year ago

Staff Average Neutral experience No offer 4 rounds
Interview process
Technical screen Onsite Take home
Interview formats
Technical Coding

The hiring process started with a 1-hour technical screening using Coderpad. After clearing that, there were final rounds consisting of two 60-minute whiteboarding sessions and a 4-hour peer programming coding challenge. I cleared the technical assessment but was rejected after the whiteboarding sessions and did not proceed to the coding challenge. The recruitment team was great and cooperative, and the interviewers were knowledgeable. However, the expectations for the interview process weren't clear. For the whiteboarding sessions, I wrote code in an IDE of my choice and shared my screen, even providing working code with multiple test cases, yet I was rejected. It was unclear if the focus was on algorithms, solutions, or handling abstract problems. It also felt strange that for a senior engineer role, all interviews were coding-focused with no system design, architecture, or algorithm-specific assessments.

Confirmed questions2 questions
  • Questions about Leetcode variants focusing on String manipulation
  • Questions about Leetcode variants focusing on Array manipulation

Liftoff Interview Questions

Quoted word for word from Liftoff interview reports.

Can you parse an IPv6 string into an array of integers, considering some extra rules?

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What's the fewest races needed to find the top 3 fastest horses out of 25, if you can only race 5 at a time and don't have a stopwatch?

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How do you find the shortest path between two points on a graph?

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If you're given an array of x,y coordinates, how would you find a point of symmetry, if one exists?

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Design and implement a simple key-value database that supports value counting and checkpoints.

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Implement minesweeper in 90 minutes, to run in the console, displaying the board, and taking commands from standard input. Ensure mines are placed randomly. Markers should be used correctly, and when an empty marker is clicked, it should reveal adjacent empty spaces (not numbered ones).

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Using the provided starter code, could you build a Tetris console application?

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How would you go about printing a matrix in a specific order?

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Can you discuss the concepts of Fraud and Incrementality within the context of mobile app marketing?

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Formats, difficulty and experience

Across all 163 Liftoff interview reports.

Interview formats

Behavioral 31.2%
Technical 29.5%
Coding 14.2%
Presentation 11.8%
Case 6.2%

Interview difficulty

Easy 8%
Average 63.8%
Difficult 28.2%

Candidate experience

Positive 76.7%
Negative 14.7%
Neutral 8.6%

Reports by job function

Engineering 55
Sales 44
Marketing 17
Operations 12
Analytics 10
Product 6