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Enterprise · Software Engineer Interview Guide

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Interview language: English

How to Pass the Serviceplan Group Software Engineer Interview in 2026

The Serviceplan Group DNA (TL;DR)

The 'Houses of Communication' model at Serviceplan Group seeks individuals who can seamlessly integrate diverse skill sets to deliver holistic client solutions. Interviewers look for examples of navigating complex projects across different disciplines, reflecting the Independent Network's integrated approach.

The Serviceplan Group Interview Loop

Your onsite loop will typically consist of 5 rounds.

  1. 1

    Round 1

    Recruiter Screen
    Motivation, role fit, logistics.
  2. 2

    Round 2

    Coding Screen
    LeetCode-medium algorithmic problems under time pressure.
  3. 3

    Round 3

    System Design
    Distributed systems, trade-offs at scale, architecture under constraints.
  4. 4

    Round 4

    Onsite Coding
    LeetCode-hard, debugging, code clarity, edge cases.
  5. 5

    Round 5

    Behavioral / Leadership
    Past evidence of ownership, influence, resolving conflict.

The Danger Zone: Top Reasons Candidates Fail

Based on our database of Serviceplan Group interview outcomes, avoid these common traps:

  • Describing a situation where the conflict was never truly resolved.
  • Not reaching a constructive resolution or damaging the relationship.
  • Not considering data quality checks and error handling within the pipeline.
  • Not handling edge cases like zero impressions or invalid timestamps.

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Test Yourself: Real Serviceplan Group Questions

Three real prompts pulled from our database.

Type · algorithmic

Given a dataset of user interactions with online ads (impressions, clicks, conversions) and their associated timestamps, design an algorithm to calculate the click-through rate (CTR) for each ad campaign within a given time window. Consider efficiency for large datasets.

Type · Conflict Resolution

Tell me about a time you had a significant disagreement with a colleague or manager regarding a marketing project. How did you approach the situation, and what was the resolution?

Type · architecture

Design a data pipeline to collect, process, and analyze user engagement data (clicks, views, time spent) from various advertising channels. The pipeline should support near real-time reporting for campaign managers and batch processing for long-term trend analysis.

+ many more questions, signals, and worked examples

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Serviceplan Group Interview Question Bank

A sample from our database, grouped by round. Sign up to see the full set.

9 of 17 questions shown

1

Recruiter Screen

1
  1. 1

    Type · motivation

    What interests you about working at Serviceplan Group, particularly within our advertising technology and data analytics domain?
2

Coding Screen

3
  1. 2

    Type · algorithmic

    Given a dataset of user interactions with online ads (impressions, clicks, conversions) and their associated timestamps, design an algorithm to calculate the click-through rate (CTR) for each ad campaign within a given time window. Consider efficiency for large datasets.
  2. 3

    Type · algorithmic

    Implement a function that takes a list of ad creatives (each with a unique ID, start date, and end date) and a specific date, and returns all creatives that are active on that date. Optimize for scenarios where the list of creatives is very large and queries are frequent.
  3. + 1 more questions in this round (sign up to unlock)
3

System Design

3
  1. 4

    Type · architecture

    Design a system to serve personalized ad recommendations to users across different platforms (web, mobile app). Consider aspects like user profiling, real-time bidding, ad inventory management, and scalability to handle millions of users and ad requests per second.
  2. 5

    Type · architecture

    Design a data pipeline to collect, process, and analyze user engagement data (clicks, views, time spent) from various advertising channels. The pipeline should support near real-time reporting for campaign managers and batch processing for long-term trend analysis.
  3. + 1 more questions in this round (sign up to unlock)
4

Onsite Coding

4
  1. 6

    Type · algorithmic

    You are given a stream of ad impression events, each with a user ID and a timestamp. Design a system to detect 'ad fraud' by identifying users who generate an unusually high number of impressions within a very short time window (e.g., more than 100 impressions in 1 minute). Discuss how you would handle the streaming nature of the data and potential edge cases.
  2. 7

    Type · code-quality

    Refactor the following Python code snippet, which is used to calculate the effective cost per mille (eCPM) for ad placements, to improve its readability, maintainability, and robustness. Pay attention to variable naming, error handling, and modularity.
  3. + 2 more questions in this round (sign up to unlock)
5

Behavioral / Leadership

6
  1. 8

    Type · ownership

    Tell me about a time you identified a significant technical debt or performance bottleneck in a system you were working on. What steps did you take to address it, and what was the outcome?
  2. 9

    Type · collaboration

    Describe a situation where you had a technical disagreement with a colleague or team member. How did you approach the discussion, and what was the resolution?
  3. + 4 more questions in this round (sign up to unlock)

Unlock all 17 Serviceplan Group questions, free

No credit card. Every question with its framework, the grading signals interviewers score against, and a worked answer for each.

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Interview tracks at Serviceplan Group

How Serviceplan Group's DNA translates across functions. Pick your role.

Compare Serviceplan Group with similar employers

Same DNA, different bar. Browse the closest companies in our database and see how their loops differ.

Practice Serviceplan Group interviews end-to-end

Sample answers

What a strong answer to these Serviceplan Group interview questions shows.

Given a dataset of user interactions with online ads (impressions, clicks, conversions) and their associated timestamps, design an algorithm to calculate the click-through rate (CTR) for each ad campaign within a given time window. Consider efficiency for large datasets.

A strong answer shows: Ability to translate a business metric (CTR) into an algorithmic problem.; Understanding of data structures and algorithms for efficient data processing.; Consideration of scalability and performance..

Tell me about a time you had a significant disagreement with a colleague or manager regarding a marketing project. How did you approach the situation, and what was the resolution?

A strong answer shows: Focus on understanding different perspectives.; Proactive approach to conflict resolution.; Ability to maintain professional relationships..

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