Amobee Software Engineer Interview Guide

Getting ready for a Software Engineer interview at Amobee? The Amobee Software Engineer interview process typically spans multiple question topics and evaluates skills in areas like algorithms, coding (often in Python or Java), SQL/database querying, whiteboard problem solving, and technical presentations. Excelling in this interview is crucial, as Amobee’s engineering teams are focused on building scalable, high-performance advertising technology platforms that process and analyze massive data sets in real time. Interview prep is especially important because you’ll be expected to demonstrate not only strong technical skills but also clear communication and collaborative problem-solving in a fast-paced, innovation-driven environment.

In preparing for the interview, you should:

• Understand the core skills necessary for Software Engineer positions at Amobee.
• Gain insights into Amobee’s Software Engineer interview structure and process.
• Practice real Amobee Software Engineer interview questions to sharpen your performance.

At Interview Query, we regularly analyze interview experience data shared by candidates. This guide uses that data to provide an overview of the Amobee Software Engineer interview process, along with sample questions and preparation tips tailored to help you succeed.

Amobee is a global digital advertising technology company specializing in data-driven solutions for brands, agencies, and media companies. The company provides a unified platform for cross-channel advertising, enabling clients to plan, activate, and optimize campaigns across TV, digital, and social media. With a focus on leveraging advanced analytics and machine learning, Amobee helps advertisers maximize reach and performance. As a Software Engineer, you will contribute to building scalable, innovative ad tech products that power Amobee’s mission of transforming the way brands connect with audiences in a rapidly evolving digital landscape.

As a Software Engineer at Amobee, you will design, develop, and maintain scalable software solutions that support the company’s digital advertising technology platform. You will work closely with cross-functional teams, including product managers and data engineers, to implement new features, optimize system performance, and ensure high reliability and security of applications. Your responsibilities will include writing clean, efficient code, participating in code reviews, and troubleshooting technical issues. This role is critical to advancing Amobee’s mission to deliver innovative advertising solutions and drive measurable results for clients in the digital marketing ecosystem.

2.1 Stage 1: Application & Resume Review

The process begins with a thorough screening of your application and resume, where the recruiting team evaluates your technical background, programming skills (with a strong emphasis on algorithms, Python, and SQL), and relevant experience in software engineering. They look for evidence of strong problem-solving abilities, experience with modern programming languages, and familiarity with scalable systems and data-driven solutions. Tailoring your resume to highlight these skills and quantifiable achievements will help you stand out.

2.2 Stage 2: Recruiter Screen

Next, you’ll have a phone screen with a recruiter. This conversation typically lasts around 30 minutes and focuses on your motivation for applying, a high-level review of your experience, and your understanding of the company’s mission. The recruiter may ask about your interest in Amobee, your career goals, and clarify details from your resume. Preparation should include a concise pitch about your background, clear articulation of why you’re interested in Amobee, and familiarity with the company’s technology focus.

2.3 Stage 3: Technical/Case/Skills Round

This stage often consists of two or more technical interviews, conducted remotely or in person, each lasting 45-60 minutes. You’ll be assessed on your coding proficiency (especially in Python and/or Java), algorithms, data structures, and SQL skills. Expect to solve problems on a whiteboard or shared coding platform, covering topics such as string manipulation, array processing, and database queries. Interviewers may also present abstract or troubleshooting scenarios to evaluate your logical thinking and problem-solving approach. Reviewing core algorithmic concepts, practicing SQL queries, and preparing to discuss the reasoning behind your solutions will be highly beneficial.

2.4 Stage 4: Behavioral Interview

A behavioral interview typically follows, often with a team manager or engineering lead. This session explores your collaboration style, communication skills, and how you handle challenges in team settings. Expect questions around project experiences, how you’ve resolved conflicts, and your approach to feedback. Prepare to share specific examples that demonstrate your adaptability, leadership, and ability to work effectively in cross-functional environments.

2.5 Stage 5: Final/Onsite Round

The final stage is an onsite (or virtual onsite) loop, which may include up to 4-6 back-to-back interviews with various team members, including engineers, technical leads, and the hiring manager. These sessions will further assess your technical depth, system design capabilities, and your ability to present solutions clearly and logically. You may encounter a mix of advanced coding problems, questions on scalable system design, and discussions about your previous projects. Some interviews may also evaluate your presentation skills and how you communicate technical concepts to both technical and non-technical stakeholders. Demonstrating clear, structured thinking and engaging actively with interviewers will help set you apart.

2.6 Stage 6: Offer & Negotiation

If you successfully navigate the previous rounds, you’ll move to the offer and negotiation phase. Here, the recruiter will discuss compensation, benefits, start date, and team placement. This is your opportunity to clarify any remaining questions about the role or company and negotiate the terms of your employment.

2.7 Average Timeline

The typical Amobee Software Engineer interview process spans 3-5 weeks from initial application to offer, with each stage generally separated by several days to a week. Fast-track candidates with highly relevant backgrounds and strong technical performance may complete the process in as little as two weeks, while standard pacing allows for team availability and scheduling flexibility. The technical and onsite rounds are often grouped closely together, and prompt feedback is common after each stage.

Next, let’s break down the specific types of interview questions you can expect throughout the Amobee Software Engineer process.

3.1 Algorithms & Data Structures

Expect questions that assess your understanding of core computer science concepts, including designing and optimizing algorithms, working with data structures, and solving real-world problems efficiently. Emphasis is placed on both conceptual clarity and practical implementation, often with a focus on time and space complexity.

3.1.1 The task is to implement a shortest path algorithm (like Dijkstra's or Bellman-Ford) to find the shortest path from a start node to an end node in a given graph. The graph is represented as a 2D array where each cell represents a node and the value in the cell represents the cost to traverse to that node.
Describe your approach for traversing the grid, how you select the optimal path, and how you handle edge cases. Mention the trade-offs between different algorithms and justify your choice with respect to the problem constraints.

3.1.2 Given an array of non-negative integers representing a 2D terrain's height levels, create an algorithm to calculate the total trapped rainwater. The rainwater can only be trapped between two higher terrain levels and cannot flow out through the edges. The algorithm should have a time complexity of O(n) and space complexity of O(n). Provide an explanation and a Python implementation. Include an example input and output.
Explain the logic behind trapping rainwater, how you iterate through the array to calculate trapped water, and discuss how you achieve the required complexity. Clarify edge cases and provide a concise summary of your solution.

3.1.3 Write a function to return the names and ids for ids that we haven't scraped yet.
Show how you would compare two lists or sets to identify missing elements efficiently. Emphasize your use of optimal data structures for fast lookup.

3.1.4 Determine the requirements for designing a database system to store payment APIs
Outline your process for identifying core entities, relationships, and required fields, and discuss how you would ensure scalability and data integrity. Mention considerations for security and extensibility.

3.2 System & Software Design

These questions evaluate your ability to design scalable, robust, and maintainable systems, often under real-world constraints. You’ll be asked to break down complex problems, justify architectural choices, and address trade-offs between performance, security, and maintainability.

3.2.1 Design a secure and scalable messaging system for a financial institution.
Discuss your approach to security (encryption, authentication), scalability (sharding, load balancing), and compliance. Highlight how you’d ensure reliability and low latency.

3.2.2 System design for a digital classroom service.
Break down the system into core components (user management, content delivery, real-time communication) and explain your technology choices. Address scalability and user experience.

3.2.3 Design a scalable ETL pipeline for ingesting heterogeneous data from Skyscanner's partners.
Describe how you would handle data ingestion, transformation, and loading at scale, considering data quality and schema evolution. Mention monitoring and error handling strategies.

3.2.4 Design a data warehouse for a new online retailer
Outline your process for identifying key data sources, modeling the schema, and ensuring efficient querying. Discuss how you’d support analytics and reporting requirements.

3.3 SQL & Data Processing

You’ll be tested on your ability to write efficient, correct SQL queries and process data for analytics or application needs. Expect questions that require joining tables, aggregating data, and handling edge cases in large datasets.

3.3.1 Write a query to compute the average time it takes for each user to respond to the previous system message
Explain how you would use window functions to align messages, calculate time differences, and aggregate by user. Clarify assumptions if message order or missing data is ambiguous.

3.3.2 Let’s say you run a wine house. You have detailed information about the chemical composition of wines in a wines table.
Describe how you’d use SQL to filter, aggregate, and analyze the wine data. Discuss optimizing queries for large datasets.

3.3.3 You’re tasked with analyzing data from multiple sources, such as payment transactions, user behavior, and fraud detection logs. How would you approach solving a data analytics problem involving these diverse datasets? What steps would you take to clean, combine, and extract meaningful insights that could improve the system's performance?
Outline your process for data cleaning, joining, and extracting features. Discuss handling inconsistencies and ensuring data quality.

3.3.4 How would you approach improving the quality of airline data?
Present methods for detecting, cleaning, and preventing data quality issues. Mention automation and monitoring strategies.

3.4 Statistics & Experimentation

These questions measure your ability to design, analyze, and interpret experiments, as well as communicate statistical concepts. You’ll need to show both technical rigor and the ability to translate findings for business impact.

3.4.1 The role of A/B testing in measuring the success rate of an analytics experiment
Describe how you’d set up, run, and interpret an A/B test, including defining metrics and ensuring statistical validity. Mention pitfalls and how you’d communicate results.

3.4.2 Precisely ascertain whether the outcomes of an A/B test, executed to assess the impact of a landing page redesign, exhibit statistical significance.
Explain your approach to hypothesis testing, calculation of p-values, and decision criteria. Discuss how you’d handle edge cases or ambiguous results.

3.4.3 What is the difference between the Z and t tests?
Summarize the conditions for using each test and the underlying assumptions. Provide examples relevant to software engineering or product analytics.

3.4.4 A logical proof sketch outlining why the k-Means algorithm is guaranteed to converge
Outline the iterative steps and explain the mathematical reasoning behind convergence. Relate this to practical considerations in machine learning workflows.

3.5 Communication & Data Presentation

Amobee values engineers who can clearly communicate technical insights and adapt their message to different audiences. You’ll be asked to present data, explain complex concepts, and ensure your findings drive business value.

3.5.1 How to present complex data insights with clarity and adaptability tailored to a specific audience
Discuss your approach to tailoring presentations, using visualizations, and adjusting technical depth. Share methods for checking audience understanding.

3.5.2 Making data-driven insights actionable for those without technical expertise
Describe strategies for simplifying complex findings, using analogies, and focusing on actionable recommendations.

3.5.3 Demystifying data for non-technical users through visualization and clear communication
Explain how you’d use dashboards, storytelling, and interactive tools to make data accessible. Mention gathering feedback to improve understanding.

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3.6 Behavioral Questions

3.6.1 Tell me about a time you used data to make a decision. What was the outcome and how did you ensure your analysis was actionable?

3.6.2 Describe a challenging data project and how you handled it. What obstacles did you face and what did you learn?

3.6.3 How do you handle unclear requirements or ambiguity in a project?

3.6.4 Tell me about a time when your colleagues didn’t agree with your approach. What did you do to bring them into the conversation and address their concerns?

3.6.5 Walk us through how you handled conflicting KPI definitions (e.g., “active user”) between two teams and arrived at a single source of truth.

3.6.6 Give an example of learning a new tool or methodology on the fly to meet a project deadline.

3.6.7 Describe a time you had to deliver an overnight report and still guarantee the numbers were “executive reliable.” How did you balance speed with data accuracy?

3.6.8 Tell me about a situation where you had to influence stakeholders without formal authority to adopt a data-driven recommendation.

3.6.9 Share a story where you used data prototypes or wireframes to align stakeholders with very different visions of the final deliverable.

3.6.10 How do you prioritize multiple deadlines? Additionally, how do you stay organized when you have multiple deadlines?

4.1 Company-specific tips:

Demonstrate a strong understanding of Amobee’s mission and the digital advertising ecosystem. Familiarize yourself with how Amobee’s unified platform enables cross-channel advertising and drives value for brands, agencies, and media companies. Be prepared to discuss the challenges and opportunities in building scalable ad tech solutions that process vast amounts of data in real time.

Showcase your awareness of Amobee’s focus on advanced analytics and machine learning in advertising technology. Discuss how data-driven decision-making and predictive modeling can improve campaign performance, and be ready to share your perspective on integrating such technologies into large-scale platforms.

Research recent trends and innovations in digital advertising, such as privacy regulations, cross-device attribution, and programmatic buying. Relate these trends to Amobee’s business and suggest how you, as a Software Engineer, could contribute to building solutions that address these industry changes.

Prepare to explain your motivation for joining Amobee, emphasizing your interest in working on high-impact, scalable systems. Articulate how your skills and experiences align with Amobee’s culture of innovation, collaboration, and fast-paced problem-solving.

4.2 Role-specific tips:

Master the fundamentals of algorithms and data structures, as you’ll be expected to solve problems involving optimal pathfinding, array manipulation, and efficient data retrieval. Practice explaining your approach out loud, justifying your choice of algorithm, and analyzing time and space complexity for each solution.

Be ready to demonstrate proficiency in Python or Java, as these are commonly used languages in Amobee’s technical interviews. Write clean, modular code and clearly communicate your thought process while coding, especially during whiteboard or live-coding sessions.

Strengthen your SQL and data processing skills by practicing complex queries involving joins, aggregations, and window functions. Be prepared to handle ambiguities in data, optimize queries for performance, and explain your reasoning for handling edge cases.

Sharpen your system and software design abilities by breaking down large, ambiguous problems into clear, scalable solutions. Practice designing secure, robust systems with a focus on performance, reliability, and maintainability. Discuss trade-offs in architecture and technology choices, and be ready to answer questions about scalability, security, and data integrity.

Prepare for technical presentations by practicing how you would communicate complex solutions to both technical and non-technical audiences. Use diagrams, logical explanations, and real-world examples to ensure your ideas are easily understood.

Expect behavioral questions that assess your teamwork, adaptability, and communication skills. Prepare concrete examples that demonstrate your ability to resolve conflicts, work in cross-functional teams, and adapt to changing requirements or ambiguous situations.

Finally, show a proactive attitude toward learning and continuous improvement. Be ready to discuss how you stay current with new technologies, learn new tools quickly, and apply best practices in software engineering to deliver high-quality results under tight deadlines.

5.1 “How hard is the Amobee Software Engineer interview?”
The Amobee Software Engineer interview is considered challenging, especially for those who are not well-versed in algorithms, scalable system design, and real-time data processing. The process rigorously tests your coding ability in languages like Python or Java, SQL proficiency, and your approach to solving ambiguous, real-world problems. You’ll also need to demonstrate strong communication and collaboration skills, as Amobee values engineers who can clearly articulate their solutions and work effectively across teams.

5.2 “How many interview rounds does Amobee have for Software Engineer?”
Amobee’s Software Engineer interview process typically consists of five main stages: an initial application and resume review, a recruiter phone screen, one or more technical interviews (focusing on coding, algorithms, and SQL), a behavioral interview, and a final onsite or virtual onsite loop with multiple team members. Overall, you can expect 4-6 rounds, depending on the team and level of the role.

5.3 “Does Amobee ask for take-home assignments for Software Engineer?”
Take-home assignments are occasionally included in the process, especially for candidates applying to more senior or specialized roles. These assignments often involve solving a practical coding challenge, designing a small system, or analyzing data to demonstrate your problem-solving approach and technical depth. However, most technical assessments are conducted live during interviews.

5.4 “What skills are required for the Amobee Software Engineer?”
Key skills include strong programming ability in Python or Java, deep understanding of algorithms and data structures, SQL/database querying, and experience designing scalable, high-performance systems. Familiarity with digital advertising technology, real-time data processing, and cloud-based architectures is highly valued. Excellent communication, teamwork, and the ability to present technical concepts to diverse audiences are also essential.

5.5 “How long does the Amobee Software Engineer hiring process take?”
The typical Amobee Software Engineer hiring process takes 3-5 weeks from application to offer. The timeline can vary based on candidate availability, scheduling logistics, and team needs. Fast-track candidates may complete the process in as little as two weeks, while others may experience longer timelines if additional interviews or assessments are required.

5.6 “What types of questions are asked in the Amobee Software Engineer interview?”
You will encounter a mix of technical and behavioral questions. Technical questions focus on algorithms, data structures, SQL, system and software design, and real-world troubleshooting. Expect to solve coding problems, design scalable systems, and analyze complex datasets. Behavioral questions assess your teamwork, adaptability, and communication skills, often requiring you to share examples of past project experiences and how you handle challenges.

5.7 “Does Amobee give feedback after the Software Engineer interview?”
Amobee generally provides high-level feedback through recruiters after each interview stage. While detailed technical feedback may be limited, you can expect insights into your overall performance and next steps in the process. Candidates are encouraged to ask clarifying questions at the end of each stage to better understand their standing.

5.8 “What is the acceptance rate for Amobee Software Engineer applicants?”
The acceptance rate for Amobee Software Engineer roles is competitive, with an estimated 3-5% of applicants ultimately receiving offers. This reflects the high technical bar and the company’s focus on finding candidates who are both technically strong and a great fit for Amobee’s collaborative, fast-paced culture.

5.9 “Does Amobee hire remote Software Engineer positions?”
Yes, Amobee offers remote opportunities for Software Engineers, particularly in roles where effective virtual collaboration is possible. Some positions may require occasional visits to an office or participation in in-person team events, but remote and hybrid work arrangements are increasingly common within the company.

• Related guides:
  • Amobee interview questions
  • Software Engineer interview guide
  • “Top Software Engineering interview tips”

Ready to ace your Amobee Software Engineer interview? It’s not just about knowing the technical skills—you need to think like an Amobee Software Engineer, solve problems under pressure, and connect your expertise to real business impact. That’s where Interview Query comes in with company-specific learning paths, mock interviews, and curated question banks tailored toward roles at Amobee and similar companies.

With resources like the Amobee Software Engineer Interview Guide and our latest case study practice sets, you’ll get access to real interview questions, detailed walkthroughs, and coaching support designed to boost both your technical skills and domain intuition. Dive into topics such as scalable system design, advanced SQL querying, and behavioral storytelling—each mapped directly to the challenges and expectations of Amobee’s engineering teams.

Take the next step—explore more case study questions, try mock interviews, and browse targeted prep materials on Interview Query. Bookmark this guide or share it with peers prepping for similar roles. It could be the difference between applying and offering. You’ve got this!