Propel interview process & guide 2026
Everything we know about interviewing at Propel: what each round tests and compensation by level.
How hard is the Propel interview?
Aggregated from 18 interview experiencesWhat Propel actually tests for
How prominent each skill is across reported loopsFind the guide for your role
This is your next step: open the guide for the role you are interviewing for. Each one carries the questions Propel interviewers actually ask that position, the loop structure, and pay by level.
What Propel pays, by level
Estimated total compensation: base salary plus stock and annual cash bonus.
Propel interview FAQ
Answered from real candidate and workplace dataHow hard is the Propel interview?
Candidates most commonly rate Propel interviews as medium, based on 18 reported interviews.
How much does Propel pay for data roles?
Reported total comp for data roles at Propel ranges from roughly $40k to $950k per year, varying by level, team, and location.
What topics does Propel test in interviews?
Propel interviews most often cover Stakeholder Communication, Programming (General Coding Skills), Machine Learning (Production), Excel, and Scoping Ambiguity / Handling Incomplete Requirements. The exact emphasis depends on the specific role you apply for.
What roles can I prepare for at Propel?
Dataford has interview guides for 4 roles at Propel, including Account Executive, Business Analyst, Data Scientist, and Software Engineer.
Where is Propel headquartered?
Propel is headquartered in Brooklyn, US.
What people say about Propel
Verbatim snippets from employee and candidate reviews“Propel offers some of the best mission-driven opportunities in the public benefits space, supported by strong technology and exciting projects.”
“The compensation is competitive for the public benefits sector, making it a rewarding place to work.”
“The company's success can be influenced by federal politics and relationships within the SNAP space.”
Ready for your Propel interview?
Practice the exact questions from this guide with AI feedback, and walk into your loop knowing what to expect.






