What Is the Klarna Interview Process Like? (Round by Round)

Klarna interviews software engineers in five to seven rounds. Candidates report a recruiter call, a coding screen of about 60 minutes, and a virtual onsite. The onsite typically holds two coding rounds, a system design round, a craft deep dive, and a behavioral round on Klarna's leadership principles. Some candidates also report a logic test and questions about how they use AI tools. Timelines vary widely, and many candidates report a slow process.

Quick Overview

StageFormatWhat is evaluated
1. Recruiter callShort video callBackground, motivation, logistics
2. Coding screenAbout 60 minutesMedium level data structures and algorithms
3. Onsite coding roundsTwo live sessionsWorking code, communication
4. System design roundLive discussionArchitecture for payment scale systems
5. Craft deep diveConversationDepth in your specialty
6. Behavioral roundStructured interviewFit with leadership principles

Stage 1: Recruiter Call

A short call about your background and your interest in Klarna. The recruiter also explains the role, the team, and the planned schedule. Prepare a two minute summary of your work. Also prepare your motivation answer, because it starts here. Ask directly which rounds your loop will include, because the exact set varies by team and location. A full structure is in How to Answer: "Why Do You Want to Work at Klarna?".

Stage 2: Coding Screen

Candidates report a coding assessment of about 60 minutes at medium difficulty. It tests data structures and algorithms: arrays, hash maps, trees, and common patterns. Some candidates also report a separate logic and reasoning test. Write code that runs, and explain your thinking while you work. Silence is the common failure here. An interviewer who cannot follow your reasoning cannot give you credit for it.

Stage 3: The Onsite Rounds

The onsite usually includes two coding rounds, one system design round, one craft deep dive, and one behavioral round. The craft deep dive is a long conversation about your specialty. Backend engineers discuss services they built, their failures, and their fixes. Frontend engineers discuss rendering, state handling, and performance work. Bring projects where you made the decisions yourself. Interviewers ask why at every step, so a project you only observed will not survive the questions.

The system design round tests payment scale architecture. See What to Expect in the Klarna System Design Interview for the question types and a worked example.

The behavioral round maps your stories to the eight leadership principles. Candidates report that this fit can outweigh a strong technical score. The question list is in Top Klarna Behavioral Interview Questions (and How to Answer Them).

The AI Question

Klarna uses AI tools heavily in daily engineering work. Some candidates report a dedicated conversation about it. Prepare one detailed story of using an AI tool to solve a real engineering problem. Include what the tool did well, what it did badly, and how you checked its output.

Timeline and What Candidates Report

Experiences differ by location and team. Some candidates report a smooth process. Many others report slow scheduling, recruiter changes in the middle, and timelines that pass the planned six to eight weeks. Plan for a long process. Keep notes on names and dates, and ask for the next step at the end of each round.

A quiet week does not always mean a rejection. Send one polite follow up message per week. Continue interviewing at other companies in parallel, so a slow schedule costs you nothing.

How to Prepare

  • Refresh medium level coding patterns. Arrays, hash maps, trees, and the standard patterns behind them. Grokking the Coding Interview organizes the practice by pattern, which shortens preparation time.
  • Prepare your craft stories. Two projects, with decisions, failures, and fixes written down.
  • Draft principle stories early. Two per principle theme, each in STAR form: Situation, Task, Action, Result. Grokking Modern Behavioral Interview shows the method.
  • Prepare the AI story. One real problem, one tool, one verified result. Practice telling it in two minutes, including what the tool got wrong.
TAGS
Coding Interview
Behavioral Interview
System Design Interview
CONTRIBUTOR
Arslan Ahmad
Arslan Ahmad
ex-FAANG engineering manager and author or Grokking series.
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