Revolut PM candidates describe a recruiter screen, case-style problem-solving and product sense interviews, a bar raiser, and sometimes a take-home task or team-fit call. Reported stage counts vary.
$187K
Avg. Base Comp
$250K
Avg. Total Comp
4-7 rounds
Typical Rounds
Not reported
Process Length
Candidates who describe the Revolut Product Manager process most often mention a recruiter screen followed by case-based problem-solving. Reported cases include increasing engagement in Revolut Stocks, diagnosing a falling trading P&L, and improving a referral flow that was deliberately hard to complete. Others describe cases unrelated to Revolut, such as designing a credit product or fixing an airport rated 2 out of 5. The common thread is structured thinking under time pressure. Candidates stress asking sharp clarifying questions, naming the metrics you would look at, and still reaching a recommendation before time runs out.
Later stages vary by person. Several candidates describe a bar raiser that digs into past work, with a director pushing for data behind decisions, and one mentions a team-fit conversation at the end. A few report a large take-home: a seven-day open brief, a smart-home app, or a roadmap and budget for a Revolut product. One candidate who received an offer called the take-home the most demanding part. Another who received no offer advised asking about scope and scoring criteria first.
Stage counts range from four to seven rounds. Outcomes are mixed, including offers, rejections, and a declined lower-level offer. Prepare two or three metric-backed stories about complex product work, practice open-ended cases out loud, and confirm the exact role and level early.
Synthesized from 32 candidate reports by our editorial team.
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Real interview reports from people who went through the Revolut process.
The interview process at Revolut moved smoothly, with HR typically responding within 2 to 3 days after each round. The structure was consistent: HR screening, problem-solving interview, product sense interview, and finally a bar-raiser. Each round tested different abilities—the problem-solving round in particular was less about traditional PM skills and more about consultancy-style frameworks, so going in with that expectation made a real difference. The HR team was proactive about preparing me for each stage, explaining the objectives of the upcoming interview and what to focus on. The competency-based questions in the screening round were intense and wanted concrete STAR-method examples of my experience. The problem-solving scenarios were often framed as abstract business challenges that could apply to any company, though some were specific to Revolut like improving cross-border functionality. Overall, the process felt professional and well-run from an organizational standpoint, though I wasn't selected to move forward.
Prep tip from this candidate
The problem-solving round is fundamentally about consulting frameworks, not PM intuition—brush up on issue trees, hypothesis-driven problem solving, and how to ask clarifying questions to scope and define the problem before proposing solutions.
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Topics based on recent interview experiences.
Featured question at Revolut
Write a query that returns all neighborhoods that have 0 users.
| Question | |
|---|---|
| Experiment Validity | |
| Top 3 Users | |
| Rolling Bank Transactions | |
| Top Three Salaries | |
| Last Transaction | |
| Button AB Test | |
| Size of Joins | |
| Find the First Non-Repeating Character in a String | |
| Month Over Month | |
| Google Maps Improvement | |
| Payments Received | |
| Cumulative Reset | |
| Like Tracker | |
| Total Spent on Products | |
| Third Purchase | |
| Daily Logins | |
| Subscription Retention | |
| Retailer Data Warehouse | |
| Rolling Average Steps | |
| Duplicate Rows | |
| Justify a Neural Network | |
| Decreasing Payments | |
| Assumptions of Linear Regression | |
| Daily Retention Summary | |
| Duplicate Product Names | |
| Hurdles In Data Projects | |
| Above Average Product Prices | |
| Post Composer Drop | |
| Success Measurement |
Synthesized from candidate reports. Individual experiences may vary.
Candidates report an initial recruiter or HR call covering background, experience, and motivation for Revolut. One candidate describes an online assessment with IQ-style questions before the recruiter call. Another found the recruiter unclear on whether the role was hands-on or strategic, so asking about scope early may help.
Candidates typically describe a case with a PM or hiring manager. Examples include a falling trading P&L, increasing engagement in Revolut Stocks, root-cause analysis on an existing Revolut product, and an airport rated 2 out of 5. Interviewers appear to care about structure, clarifying questions, and reaching a recommendation, not a single correct answer.
Some candidates report a separate product sense round, such as improving a deliberately difficult referral flow and critiquing an example UI, or a broad case about building a credit product. Another was asked to walk through one complex feature, how they handled the complexity, and whether it succeeded. Content may differ by stream, so treat the examples as indicative.
Not every candidate describes this stage, but those who do report heavy effort. Examples include an open-ended brief with seven days to complete it, a smart-home app task, and a roadmap and budget for a Revolut product. Candidates suggest asking about expected scope and scoring criteria, and making the main recommendation easy to see.
Candidates report a bar raiser with a senior person or director that probes past work, achievements, role transitions, and the data behind decisions. One candidate also describes a final team-fit stage that combined behavioral questions, a brain teaser, business problem-solving, and why Revolut. Expect to give detailed, metric-backed examples.
