Type · motivation
What interests you about Adikteev's mission in the advertising technology space, and how do you see your skills contributing to our growth?
Growth · Software Engineer Interview Guide
Sign up to see ATSHeadquartered in FranceInterview language: English
How to Pass the Adikteev Software Engineer Interview in 2026
The Adikteev DNA (TL;DR)
Attention Applicants at Adikteev focuses on candidates who can articulate their impact on user acquisition or re-engagement metrics. The interview process seeks individuals demonstrating strategic thinking to optimize campaign performance and drive measurable growth for clients.
The Adikteev Interview Loop
Your onsite loop will typically consist of 5 rounds.
- 1
Round 1
Recruiter ScreenMotivation, role fit, logistics. - 2
Round 2
Coding ScreenLeetCode-medium algorithmic problems under time pressure. - 3
Round 3
System DesignDistributed systems, trade-offs at scale, architecture under constraints. - 4
Round 4
Onsite CodingLeetCode-hard, debugging, code clarity, edge cases. - 5
Round 5
Behavioral / LeadershipPast evidence of ownership, influence, resolving conflict.
The Danger Zone: Top Reasons Candidates Fail
Based on our database of Adikteev interview outcomes, avoid these common traps:
- Incorrectly defining or calculating session boundaries.
- Underestimating the latency requirements and proposing batch processing.
- Choosing a simple structure like a hash map that doesn't support multi-attribute queries well.
- Describing a generic disagreement without explaining the specific constraints of the advertising ecosystem
Test Yourself: Real Adikteev Questions
Three real prompts pulled from our database.
Type · past_experience
Describe a time you had to work with a complex, legacy codebase. What challenges did you face, and how did you approach understanding and improving it?
Type · system-design
How would you design a system to detect and mitigate ad fraud (e.g., click fraud, impression fraud)? Consider the data sources, detection algorithms, and mitigation strategies.
+ many more questions, signals, and worked examples
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Adikteev Interview Question Bank
A sample from our database, grouped by round. Sign up to see the full set.
9 of 14 questions shown
1
Recruiter Screen
1- 1
Type · motivation
What interests you about Adikteev's mission in the advertising technology space, and how do you see your skills contributing to our growth?
2
Coding Screen
3- 2
Type · algorithmic
Given a stream of user events (e.g., 'view', 'click', 'purchase') with timestamps, design an algorithm to efficiently calculate the conversion rate for a specific campaign within a rolling 24-hour window. Assume events are processed in near real-time. - 3
Type · algorithmic
Implement a function that takes a list of ad impressions and their associated click-through events, and returns a list of unique user IDs who have clicked on at least one ad within a 1-hour session. A session is defined as consecutive events from the same user within 1 hour of each other. - + 1 more questions in this round (sign up to unlock)
3
System Design
3- 4
Type · system-design
Design a real-time bidding (RTB) system for ad impressions. Focus on the components responsible for receiving bid requests, querying available ads, and returning bids within strict latency constraints (e.g., <100ms). - 5
Type · system-design
Design a system to track and aggregate ad performance metrics (impressions, clicks, conversions) across millions of users and thousands of campaigns. How would you handle data ingestion, storage, and querying for analytics dashboards? - + 1 more questions in this round (sign up to unlock)
4
Onsite Coding
4- 6
Type · algorithmic
Implement a function to calculate the optimal bid price for an ad impression given a user's profile, the ad's historical performance, and a target ROI. This involves balancing predicted click-through rate (CTR) and conversion rate (CVR) against the cost. - 7
Type · debugging
A dashboard is showing incorrect conversion rates for a specific campaign. The backend logs show data is being ingested, but the aggregation logic seems flawed. Debug the provided code snippet (assume a simplified Python/SQL representation) to identify and fix the issue. - + 2 more questions in this round (sign up to unlock)
5
Behavioral / Leadership
3- 8
Type · past_experience
Describe a time you had to work with a complex, legacy codebase. What challenges did you face, and how did you approach understanding and improving it? - 9
Type · past_experience
At Adikteev, we often balance the trade-off between strict latency requirements for real-time bidding and the need for complex machine learning model inference. Tell me about a time you advocated for a specific technical architectural choice that prioritized system performance or scalability over model complexity, and how you communicated the business impact of that trade-off to stakeholders. - + 1 more questions in this round (sign up to unlock)
Unlock all 14 Adikteev questions, free
No credit card. Every question with its framework, the grading signals interviewers score against, and a worked answer for each.
Interview tracks at Adikteev
How Adikteev's DNA translates across functions. Pick your role.
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Practice Adikteev interviews end-to-end
Adikteev Mock Interview
Run a live mock interview with our AI interviewer using Adikteev-style prompts. Get scored on structure, signal, and answer length - exactly how the real loop grades you.
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STAR Stories for Adikteev Behavioral Rounds
Build a Story Bank of your past wins, mapped to the leadership signals Adikteev interviewers grade on. Reuse them across every behavioral round.
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Adikteev Interview Prep Hub
The frameworks behind every Adikteev round: CIRCLES for product sense, hypothesis-driven debugging for analytical, STAR for behavioral. Learn each one in 10 minutes.
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Interview Frameworks
CIRCLES, STAR, AARRR, RICE, MECE. The exact frameworks that make Adikteev interviewers nod instead of frown. Step-by-step playbooks with the moves and the pitfalls.
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Sample answers
What a strong answer to these Adikteev interview questions shows.
What interests you about Adikteev's mission in the advertising technology space, and how do you see your skills contributing to our growth?
A strong answer shows: Enthusiasm for Adikteev's product/mission; Understanding of ad-tech landscape; Articulated connection between skills and company needs.
Describe a time you had to work with a complex, legacy codebase. What challenges did you face, and how did you approach understanding and improving it?
A strong answer shows: Structured approach to understanding legacy code; Proactive steps taken for improvement; Resilience and patience; Effective communication about challenges.
Frequently asked questions
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