Process
Applied online and had a technical phone screen.
Passed that and then had a 45-minute conversation with the hiring manager.
They were big on "Why Spotify?".
Overall, it was a good process, I just didn't get an offer.
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Interview Statistics
The following metrics were computed from 2 interview experiences for the Spotify Backend Software Engineer role in United States.
Success Rate
0%
Pass Rate
Spotify's interview process for their Backend Software Engineer roles in the United States is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive50%
Neutral50%
Negative0%
Candidates reported having very good feelings for Spotify's Backend Software Engineer interview process in United States.
Spotify Work Experiences
5.0
Best place I've worked
Senior Machine Learning Engineer • Current Employee
New York, New York, United States
January 20, 2023
Pros: Aggressively good work/life balance.
Opportunity to take initiative.
Exciting time to be at Spotify for NLP.
Great benefits.
Good company culture.
Fun product.
Cons: Top-down management style.
Management doesn't consult engineering expertise as much as they should before making decisions.
5.0
Great culture, amazing infra
Software Engineer II • Former Employee
Melbourne, Victoria, Australia
April 16, 2024
Pros: Somehow, they managed to keep a very friendly and open culture, which does wonders for engineering. It's also very much bottom-to-top, not the other way around. I've seen some of the best examples of servant leadership in this company, from Eng Manager to VP level.
Also, Google's Introdays are massive and awesome. Anyone working here also gets massive coolness among friends and family.
Cons: Sometimes time zones can be a little hard to work across, but that's a given with any international company. I wish they had better planning sometimes; some changes of the main north stars mean a lot of restructures and letting go of people :(
5.0
Great job
Associate Machine Learning Engineer • Current Employee
London, England
January 20, 2026
Pros: Exciting large-scale projects and inspirational people.
Cons: Work on a very narrowly scoped problem.
- 5.0Best place I've workedSenior Machine Learning Engineer • Current EmployeeNew York, New York, United StatesJanuary 20, 2023Pros: Aggressively good work/life balance. Opportunity to take initiative. Exciting time to be at Spotify for NLP. Great benefits. Good company culture. Fun product.Cons: Top-down management style. Management doesn't consult engineering expertise as much as they should before making decisions.
- 5.0Great culture, amazing infraSoftware Engineer II • Former EmployeeMelbourne, Victoria, AustraliaApril 16, 2024Pros: Somehow, they managed to keep a very friendly and open culture, which does wonders for engineering. It's also very much bottom-to-top, not the other way around. I've seen some of the best examples of servant leadership in this company, from Eng Manager to VP level. Also, Google's Introdays are massive and awesome. Anyone working here also gets massive coolness among friends and family.Cons: Sometimes time zones can be a little hard to work across, but that's a given with any international company. I wish they had better planning sometimes; some changes of the main north stars mean a lot of restructures and letting go of people :(
- 5.0Great jobAssociate Machine Learning Engineer • Current EmployeeLondon, EnglandJanuary 20, 2026Pros: Exciting large-scale projects and inspirational people.Cons: Work on a very narrowly scoped problem.
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