How long does the Adikteev interview process take?

Most candidates spend between 4 and 8 weeks from recruiter screen to offer. The onsite loop itself runs in a single day or is split across two half-days, with debrief and offer typically within 5 business days after.

How should I prepare specifically for Adikteev?

Focus on three things: (1) the company DNA shown above - what they actually grade for, (2) the rounds in your loop, especially the round most candidates underestimate, and (3) drilling on the question types in this guide using a structured framework like CIRCLES or STAR.

Does this apply to engineering or design roles at Adikteev?

The DNA stays the same - what changes is the round mix. SWE candidates face coding screens instead of Product Sense; designers face portfolio reviews and design exercises. The "what they value" and behavioral signals carry across all functions.

Other roles at Adikteev:Product Manager Sales Marketing Software Engineer

Growth · Software Engineer Interview Guide

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 Screen
Motivation, role fit, logistics.
2
Round 2
Coding Screen
LeetCode-medium algorithmic problems under time pressure.
3
Round 3
System Design
Distributed systems, trade-offs at scale, architecture under constraints.
4
Round 4
Onsite Coding
LeetCode-hard, debugging, code clarity, edge cases.
5
Round 5
Behavioral / Leadership
Past 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:

Blaming the other party without self-reflection.
Not considering fault tolerance, caching strategies, or the scale of bid requests.
Describing an escalation without attempting to resolve it directly.
Not considering naming conventions, modularity, or error handling.

Test Yourself: Real Adikteev Questions

Three real prompts pulled from our database.

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.

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 · algorithmic

You are given two lists of user IDs: one list of users who saw an ad, and another list of users who clicked on it. Write a function to determine the click-through rate (CTR) for each unique ad campaign, assuming each user ID can be associated with a campaign ID.

+ 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 16 questions shown

Recruiter Screen

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?

Coding Screen

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)

System Design

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)

Onsite Coding

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)

Behavioral / Leadership

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
Tell me about a time you disagreed with a technical decision made by your team or lead. How did you handle the situation, and what was the outcome?
+ 3 more questions in this round (sign up to unlock)