Interview Query

Tubi Product Manager Interview Questions + Guide in 2025

Overview

Tubi is Fox Corporation's premium ad-supported video-on-demand streaming service, dedicated to making entertainment accessible to all through a diverse library of content, including Tubi Originals.

As a Product Manager at Tubi, your role will be pivotal in shaping the future of the AdRise Ad Exchange. You will lead the product development lifecycle, from strategic planning and execution to market launch and ongoing optimization. Your responsibilities will encompass collaborating with cross-functional teams—including engineering, data science, and UX—to deliver innovative ad tech solutions that enhance the efficiency and reach of ad serving. A deep understanding of the digital advertising ecosystem, including programmatic advertising and real-time bidding, is crucial. You will be expected to define clear product roadmaps based on market needs and technological trends while managing stakeholder relationships to align product features with business objectives. Your ability to analyze product performance using SQL and BI tools will be essential in making data-driven decisions to optimize the ad delivery systems.

This guide will help you prepare for your interview by providing insights into the specific skills and experiences that Tubi values in a Product Manager, ensuring you present yourself as a qualified candidate ready to contribute to their mission of revolutionizing streaming experiences.

Tubi Product Manager Salary

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Tubi Product Manager Interview Process

The interview process for a Product Manager at Tubi is designed to assess both your technical skills and your fit within the company's culture. It typically unfolds in several structured stages, allowing candidates to showcase their expertise in product management, particularly in the ad tech industry.

1. Initial Recruiter Call

The process begins with a phone call from a recruiter, which usually lasts about 30 minutes. During this conversation, the recruiter will discuss your background, relevant experience, and motivations for applying to Tubi. This is also an opportunity for you to ask questions about the company and the role, so be prepared to engage in a two-way dialogue.

2. Hiring Manager Interview

Following the initial screening, candidates typically have a one-on-one interview with the hiring manager. This session often involves a deeper dive into your past experiences, particularly focusing on projects you've led and your understanding of product management principles. Expect to discuss your approach to product development, stakeholder management, and how you prioritize features based on market needs.

3. Technical Assessment

Candidates may be required to complete a technical assessment, which could include a take-home assignment or a live coding exercise. This assessment often focuses on SQL-related tasks, as well as case studies that require you to demonstrate your analytical skills and ability to make data-driven decisions. Be prepared to showcase your understanding of product metrics and how they relate to ad tech.

4. Onsite Interview

The onsite interview typically consists of multiple rounds with various team members, including engineers, data scientists, and UX designers. Each interview usually lasts around 30 minutes and covers a mix of behavioral and technical questions. You may be asked to solve hypothetical scenarios related to product management, discuss your experience with ad serving technologies, and demonstrate your knowledge of the digital advertising ecosystem.

5. Final Round and Feedback

After the onsite interviews, candidates may have a final round with senior leadership or cross-functional partners. This stage is often more strategic, focusing on your vision for the product and how you would drive its success within the company. Following this, candidates can expect feedback, although the timeliness and detail of this feedback can vary.

As you prepare for your interview, consider the specific skills and experiences that align with Tubi's needs, particularly in product metrics and ad tech. Next, let's explore the types of questions you might encounter during the interview process.

Tubi Product Manager Interview Questions

In this section, we’ll review the various interview questions that might be asked during a Product Manager interview at Tubi. The interview process will likely focus on your experience in product management, particularly in the ad tech industry, as well as your analytical skills and understanding of the digital advertising ecosystem. Be prepared to discuss your past experiences, how you approach product development, and your familiarity with relevant technologies.

Experience and Background

1. Can you describe a product you managed from concept to launch? What were the key challenges you faced?

This question aims to assess your hands-on experience in product management and your problem-solving abilities.

How to Answer

Discuss a specific product, detailing your role in its development, the challenges encountered, and how you overcame them. Highlight your leadership and collaboration with cross-functional teams.

Example

“I managed the launch of a new ad-serving platform where I coordinated with engineering, design, and marketing teams. One major challenge was aligning the technical specifications with market needs, which I addressed by conducting user interviews and iterating on our product roadmap based on feedback.”

Product Metrics and Analytics

2. How do you define and measure the success of a product?

This question evaluates your understanding of product metrics and your analytical mindset.

How to Answer

Explain the key performance indicators (KPIs) you use to measure success, such as user engagement, revenue growth, or customer satisfaction. Provide examples of how you have used data to inform product decisions.

Example

“I define success through metrics like user retention rates and revenue per user. For instance, after launching a new feature, I tracked user engagement through A/B testing, which revealed a 20% increase in retention, allowing us to iterate further based on user feedback.”

Ad Tech Knowledge

3. What is your understanding of programmatic advertising and how it impacts product development?

This question assesses your knowledge of the ad tech landscape and its relevance to product management.

How to Answer

Discuss the fundamentals of programmatic advertising, including real-time bidding and ad exchanges, and how this knowledge informs your product strategy.

Example

“Programmatic advertising automates the buying and selling of ad inventory, which allows for more efficient targeting. Understanding this helps me prioritize features that enhance our ad-serving capabilities, ensuring we meet the needs of both advertisers and publishers.”

SQL and Data Analysis

4. Can you provide an example of how you used SQL to analyze product performance?

This question tests your technical skills and ability to leverage data for decision-making.

How to Answer

Share a specific instance where you used SQL to extract insights from data, explaining the context and the impact of your findings on product strategy.

Example

“I used SQL to analyze user behavior data, identifying patterns in ad engagement. By querying our database, I discovered that certain ad formats performed significantly better, which led to a strategic shift in our ad offerings and a 15% increase in overall ad revenue.”

Stakeholder Management

5. How do you prioritize features when managing a product roadmap?

This question evaluates your ability to balance stakeholder needs and business objectives.

How to Answer

Discuss your approach to prioritization, including how you gather input from stakeholders and use data to inform your decisions.

Example

“I prioritize features by assessing their potential impact on key business metrics and aligning them with stakeholder goals. I use a scoring system that considers factors like user demand, technical feasibility, and strategic alignment, ensuring that we focus on high-impact initiatives first.”

Question
Topics
Difficulty
Ask Chance
Product Metrics
Medium
Very High
Machine Learning
Medium
Very High
Analytics
Hard
Very High
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Analytics
Easy
Medium
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SQL
Easy
Very High
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Analytics
Medium
Very High
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Analytics
Easy
High
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Machine Learning
Easy
High
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Machine Learning
Medium
High
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Machine Learning
Medium
Medium
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Machine Learning
Hard
Medium
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Machine Learning
Easy
Low
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Machine Learning
Hard
Medium
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SQL
Medium
Very High
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Machine Learning
Hard
Medium
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Machine Learning
Easy
Medium
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Analytics
Easy
Very High
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Analytics
Medium
Very High
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Machine Learning
Hard
High
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Machine Learning
Easy
Medium
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