Company profile
Retool lets teams build internal applications, workflows, databases, and AI-powered business tools faster than custom development alone. Interviews are practical and product-aware, often testing frontend depth, backend integrations, database thinking, and the ability to reason about developer experience.
Retool operates in the developer tools space with a headcount around 500, which usually puts hiring in a middle zone: repeatable enough to have defined stages, small enough that the team you would join runs most of the loop. For ml engineer, ai engineer, ai infrastructure engineer candidates that generally means a recruiter conversation, skill rounds led by future teammates, and a closing conversation with a senior leader. The role pages below break down the questions for each function.
Retool hires across several engineering and product functions, and the loop shifts with each one. Open a role for the reported questions, the round-by-round focus, and a salary band for that function.
ML engineer interview questions and process at Retool.
AI engineer interview questions and process at Retool.
AI infrastructure engineer interview questions and process at Retool.
AI red team engineer interview questions and process at Retool.
AI research engineer interview questions and process at Retool.
MLOps engineer interview questions and process at Retool.
Backend engineer interview questions and process at Retool.
Analytics engineer interview questions and process at Retool.
Approximate senior median pay for Retool's core roles, anchored to San Francisco and modelled from BLS, ONS, and Levels.fyi reference medians. These are market bands for the role and city, not Retool offers. Open a role for the full city-by-city table.
Retool holds a 4.2 Glassdoor rating. External review scores are directional signals. Treat them as context alongside the specific team, location, level, and hiring manager you are interviewing with.
Glassdoor 4.2