Prepare for and practice interview questions from Gametime United.

Gametime United Interview Questions

A/B Testing

Algorithms

Analytics

Machine Learning

Probability

Product Metrics

Python

Statistics

Gametime United Interview Guides

<p>Suppose there exists a new airline named Jetco that flies domestically across North America. Jetco recently had a study commissioned that tested the boarding time of every airline, and it came out that Jetco had the fastest average boarding times of any airline.</p>

<p>What factors could have biased this result, and what would you look into?</p>


<p>What could potentially bias the average boarding time in favor of an airline that only flies domestically?</p>

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

Boarding Times Bias

A new airline came out as the fastest average boarding times compared to other airlines.  What factors could have biased this result and what would you look into?

<p>Let’s say you work for a social media company that has just done a launch in a new city. Looking at weekly metrics, you see a slow decrease in the average number of comments per user from January to March in this city.</p>

<p>The company has been consistently growing new users in the city from January to March.</p>

<p>What are some reasons why the average number of comments per user would be decreasing and what metrics would you look into?</p>


<p>What metric could be used to measure if active users are still engaging on the platform despite an overall decrease in the average number of comments per user?</p>

What metric could be used to measure if active users are still engaging on the platform despite an overall decrease in the average number of comments per user?

Decreasing Comments

How would you investigate a decline in the average number of comments per user?

<p>You are testing hundreds of hypotheses with many <em>t</em>-tests. What considerations should be made?</p>


<p>What is a key disadvantage of the F-test when compared to multiple t-tests?</p>

What is a key disadvantage of the F-test when compared to multiple t-tests?

Hundreds of Hypotheses

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

<h3>Job Description</h3><div>Job Description<div><div><div><strong>About Us:</strong></div><div>Live experiences help people cross today's digital divide and focus on what truly connects us – the here, the now, this once-in-a-lifetime moment that's bringing us together. To fulfill Gametime's mission of uniting the world through shared experiences, we make it easy for people to discover and access the live experiences that matter most.</div><div></div><div>With platforms on iOS, Android, mobile web and desktop supporting more than 60,000 events across the US and Canada, we are reimagining the event ticket industry in order to move at the speed of life.</div></div>The Role:<p>The Machine Learning Platform team is responsible for building the core components necessary to support and accelerate the full machine learning lifecycle. In this role, you will work closely with ML Engineers and Data Scientists as well as the Data Platform and Backend Engineering teams to maximize the impact of ML. At Gametime, the modeling teams are expected to work full-stack and end-to-end. This requires reliable, powerful infrastructure and abstractions provided by the Machine Learning Platform team. This is an opportunity to join as a founding member of the team and help shape its future direction.</p><p></p>Above & Beyond: The Impact You'll Make:<ul><li>Collaborate with Machine Learning Engineers and Data Scientists to understand their platform needs and translate them into powerful, generalized solutions</li><li>Own existing platform systems and develop the next generation of tools (e.g. training platform, feature platform, inference platform)</li><li>Architect a platform that boosts overall model iteration speed and allows Machine Learning Engineers and Data Scientists to work in a self-serve manner</li><li>Improve the reliability around all components of an ML platform capable of powering critical product features used by millions of users</li></ul><p></p>Always Be Curious: Skills You've Learned Along The Way:<strong>Technical Skills:</strong><ul><li>Proven track record in designing and implementing mission-critical, high-reliability systems with rapid deployment</li><li>Outstanding programming proficiency, with particular expertise in Python</li><li>Strong working knowledge of AWS or equivalent cloud platforms</li><li>Hands-on experience with industry-standard tools and technologies (e.g., Kafka, Docker, gRPC, DynamoDB, Redis, Temporal, Snowflake, Airflow, SQL)</li><li>Keen interest in machine learning and its associated technologies (such as PyTorch, Scikit-Learn, XGBoost, Jupyter), preferably with some practical experience</li></ul><strong>Interpersonal Skills:</strong><ul><li>Ability to collaborate effectively across teams and communicate with key stakeholders</li></ul><strong>Problem-Solving and Decision-Making:</strong><ul><li>A proactive self-starter with a strong ability to learn quickly and work independently, demonstrating the desire and readiness to manage an increasing level of responsibility</li></ul><p></p><strong>One Team, One Dream: What We Need To Work Together:</strong><ul><li><strong>Experience:</strong> 5+ years of industry experience</li></ul><strong>Preferred Qualifications:</strong><ul><li><strong>Education: </strong>Bachelors in Computer Science or similar</li></ul><div><div><p>At Gametime pay ranges are subject to change and assigned to a job based on specific market median of similar jobs according to 3rd party salary benchmark surveys. Individual pay within that range can vary for several reasons including <span class="long-word">skills/capabilities,</span> experience, and available budget.</p></div><div>United States - Pay Range</div><div>$195,000—$230,000 USD</div></div><div><p><strong>Gametime is committed to bringing together individuals from different backgrounds and perspectives. We strive to create an inclusive environment where everyone can thrive, feel a sense of belonging, and do great work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, veteran status, sex, parental status, gender identity or expression, transgender status, sexual orientation, national origin, age, disability or genetic information. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our company.</strong></p></div></div></div>

<h3>Job Description</h3><div>Job Description<div><div><div><strong>About Us:</strong></div><div>Live experiences help people cross today's digital divide and focus on what truly connects us – the here, the now, this once-in-a-lifetime moment that's bringing us together. To fulfill Gametime's mission of uniting the world through shared experiences, we make it easy for people to discover and access the live experiences that matter most.</div><div></div><div>With platforms on iOS, Android, mobile web and desktop supporting more than 60,000 events across the US and Canada, we are reimagining the event ticket industry in order to move at the speed of life.</div></div>The Role:<p>Gametime is looking for a Senior<strong> Product Manager</strong> to drive the technology strategy behind our <strong>Customer Operations</strong> organization in collaboration with our Head of Customer Operations. You'll lead the tools, systems, and automations workstreams that power how we support fans. This role will sit on the leadership team of our Customer Operations organization and collaborate closely with that team to support the vision.</p><p>This is a high-impact, cross-functional, hands-on role ideal for a PM who has worked on <strong>support platforms</strong>,<strong> IVR, chat, agent tooling</strong>, <strong>AI/automation</strong>, and <strong>customer facing support experiences</strong>.</p><p>Your mission: <strong>improve cost to serve, expand AI-driven automation, and elevate customer satisfaction</strong>—while championing the voice of the customer across the organization.</p><strong>What You'll Do</strong><ul><li>Own the product roadmap for Customer Operations technology (ticketing systems, IVR, chat, CRM integrations, agent tools, self-service workflows).<br><br></li><li>Develop and launch automation, AI-powered tools, and support workflows that improve efficiency and customer satisfaction.<br><br></li><li>Partner closely with the Head of Customer Operations to align product priorities with operational goals and frontline needs.<br><br></li><li>Champion the customer voice—leveraging data, feedback, and research to improve the support journey.<br><br></li><li>Drive measurable operational impact through improved routing, faster resolution times, and enhanced self-service.<br><br></li></ul><strong>What You Bring</strong><ul><li>7+ years of product management experience, with experience building tech for customer support, internal tools, automation, or operations.<br><br></li><li>Strong analytical skills and deep comfort working with data.<br><br></li><li>Experience partnering with AI/ML teams on classification, routing, agent assist, chat, or automated workflows.<br><br></li><li>Ability to lead through influence, drive cross-functional alignment, and ship high-quality internal and external tools.<br><br></li><li>Customer-obsessed mindset—you care deeply about solving problems for fans and the teams who support them.<br><br></li></ul><strong>Nice to Have</strong><ul><li>Experience with CRM/support platforms (Kustomer, Zendesk, Salesforce Service Cloud,, Talkdesk, etc.).<br><br></li><li>Background in marketplaces, ticketing, live events, or fast-moving consumer tech companies.<br><br></li><li>Experience working with payment, compliance, or operationally complex systems.<br><br></li></ul><strong>What Success Looks Like</strong><ul><li>Lower cost to serve through automation and tooling improvements.<br><br></li><li>Higher customer satisfaction across CSAT, resolution time, and first-contact resolution.<br><br></li><li>Increased usage of AI-driven workflows, agent assist, and self-service tools.<br><br></li><li>Strong adoption of new systems and features across the Fan Happiness team.</li></ul><strong>What We Can Offer:</strong><ul><li>Flexible PTO</li><li>Competitive salary & equity package</li><li>Monthly Gametime credits for any event ($1,200/yr)</li><li>Medical, dental, & vision insurance</li><li>Life insurance and disability benefits</li><li>Diverse Family-forming benefits through Carrot Fertility</li><li>401k, HSA, pre-tax savings programs</li><li>Company off-sites and meet-ups</li><li>Wellness programs</li><li>Tenure recognition</li></ul><div><div><p>At Gametime pay ranges are subject to change and assigned to a job based on specific market median of similar jobs according to 3rd party salary benchmark surveys. Individual pay within that range can vary for several reasons including <span class="long-word">skills/capabilities,</span> experience, and available budget.</p></div><div>United States - Pay Range</div><div>$169,950—$199,941 USD</div></div><div><p><strong>Gametime is committed to bringing together individuals from different backgrounds and perspectives. We strive to create an inclusive environment where everyone can thrive, feel a sense of belonging, and do great work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, veteran status, sex, parental status, gender identity or expression, transgender status, sexual orientation, national origin, age, disability or genetic information. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our company.</strong></p></div></div></div>

<h3>Job Description</h3><div>Job Description<div><div><div><strong>About Us:</strong></div><div>Live experiences help people cross today's digital divide and focus on what truly connects us – the here, the now, this once-in-a-lifetime moment that's bringing us together. To fulfill Gametime's mission of uniting the world through shared experiences, we make it easy for people to discover and access the live experiences that matter most.</div><div></div><div>With platforms on iOS, Android, mobile web and desktop supporting more than 60,000 events across the US and Canada, we are reimagining the event ticket industry in order to move at the speed of life.</div></div><strong>About the Role</strong><p>We're looking for a highly analytical and business-savvy <strong>Senior Pricing Data Scientist</strong> to join our Pricing Strategy team. In this role, you'll design and execute advanced pricing models, lead experimentation efforts, and uncover insights that power monetization and growth. You'll work cross-functionally with Product, Analytics, Revenue, and Engineering to ensure our pricing strategies are data-driven, rigorously tested, and aligned with customer value.</p><p>This is a high-impact opportunity for someone who thrives at the intersection of <strong>data science, economics, and strategy</strong>, and who is passionate about using data to influence pricing, product design, and long-term business outcomes.</p><strong>Key Responsibilities</strong><strong>Model Development & Optimization</strong><ul><li>Design, build, and maintain pricing and demand elasticity models using statistical and machine learning methods.<br><br></li><li>Leverage behavioral, transactional, and marketplace data to optimize price points, discount strategies, and product bundling.<br><br></li><li>Develop tools to support scenario modeling, revenue forecasting, and price testing simulations.</li></ul><strong>Experimentation & Testing</strong><ul><li>Design A/B and multivariate experiments to test pricing changes, discount strategies, and offer configurations.<br><br></li><li>Analyze test results with statistical rigor, including significance testing, confidence intervals, and causal inference techniques.<br><br></li><li>Partner with experimentation platform owners to automate and scale pricing experiments across channels and customer segments.</li></ul><strong>Insight Generation & Strategy Support</strong><ul><li>Conduct in-depth analyses of customer willingness to pay, price sensitivity, and competitor pricing strategies.<br><br></li><li>Deliver insights on monetization opportunities, marketplace dynamics, and revenue optimization levers.<br><br></li><li>Partner with strategy and product teams to develop recommendations based on model outputs and empirical evidence.</li></ul><strong>Cross-functional Collaboration</strong><ul><li>Collaborate closely with Product Managers, Engineers, and Revenue teams to embed pricing intelligence into user experiences.<br><br></li><li>Translate complex technical findings into actionable business recommendations for stakeholders across the org.<br><br></li><li>Contribute to roadmap planning, strategic decision-making, and post-launch pricing reviews.<br><br></li></ul><strong>What You Bring</strong><strong>Required Qualifications</strong><ul><li>5+ years of experience in data science, pricing analytics, or quantitative strategy roles.<br><br></li><li>Advanced proficiency in Python or R, SQL, and statistical modeling techniques.<br><br></li><li>Strong experience with A/B testing frameworks and causal inference methods (e.g., regression, matching, difference-in-differences).<br><br></li><li>Solid understanding of pricing theory, elasticity modeling, and optimization.</li></ul><strong>Skills & Attributes</strong><ul><li>Excellent problem-solving and critical thinking skills; able to distill ambiguity into structured analyses.<br><br></li><li>Business-oriented mindset with the ability to prioritize impact and communicate clearly with non-technical audiences.<br><br></li><li>Self-starter with a passion for experimentation and continuous improvement.</li></ul><strong>Preferred</strong><ul><li>Degree in Data Science, Statistics, Economics, Applied Mathematics, or a related quantitative discipline (Master's or PhD preferred).<br><br></li><li>Experience in a consumer-facing marketplace, e-commerce, or SaaS environment.<br><br></li><li>Familiarity with tools such as Looker, Amplitude, dbt, or in-house experimentation platforms.<br><br></li></ul><strong>Why This Role Matters</strong><p>Your work will help define how we price, scale, and monetize our products. By bringing science and experimentation to our pricing approach, you'll directly impact revenue growth, customer satisfaction, and strategic decision-making.</p><p></p><p><strong>What We can Offer:</strong></p><ul><li>Flexible PTO</li><li>Competitive salary & equity package</li><li>Monthly Gametime credits for any event ($1,200/yr)</li><li>Medical, dental, & vision insurance</li><li>Life insurance and disability benefits</li><li>Diverse Family-forming benefits through Carrot Fertility</li><li>401k, HSA, pre-tax savings programs</li><li>Company off-sites and meet-ups</li><li>Wellness programs</li><li>Tenure recognition</li></ul><div><div><p>At Gametime pay ranges are subject to change and assigned to a job based on specific market median of similar jobs according to 3rd party salary benchmark surveys. Individual pay within that range can vary for several reasons including <span class="long-word">skills/capabilities,</span> experience, and available budget.</p></div><div>United States - Pay Range</div><div>$140,718—$165,550 USD</div></div><div><p><strong>Gametime is committed to bringing together individuals from different backgrounds and perspectives. We strive to create an inclusive environment where everyone can thrive, feel a sense of belonging, and do great work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, veteran status, sex, parental status, gender identity or expression, transgender status, sexual orientation, national origin, age, disability or genetic information. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our company.</strong></p></div></div></div>

<h3>Job Description</h3><div>Job Description<div><div><div><strong>About Us:</strong></div><div>Live experiences help people cross today's digital divide and focus on what truly connects us – the here, the now, this once-in-a-lifetime moment that's bringing us together. To fulfill Gametime's mission of uniting the world through shared experiences, we make it easy for people to discover and access the live experiences that matter most.</div><div></div><div>With platforms on iOS, Android, mobile web and desktop supporting more than 60,000 events across the US and Canada, we are reimagining the event ticket industry in order to move at the speed of life.</div></div><strong>The Role:</strong><p>The Machine Learning team is responsible for designing, developing, and deploying cutting-edge AI/ML solutions, owning the full lifecycle from ideation to production. In this role, you will work closely with the ML Platform and Data Science teams to maximize the impact of ML across every area of the business. This is an opportunity to join a growing team and help shape its future direction.</p><strong>Key Responsibilities:</strong><ul><li><strong>Designing & Implementing AI/ML Solutions:</strong> Lead the design and implementation of robust, scalable, and high-performance machine learning applications that power critical user experiences and business operations.</li><li><strong>End-to-End Ownership:</strong> Take ownership of the full machine learning lifecycle for various applications, working closely with data scientists, product managers, and backend engineers to define problems, develop solutions, and measure impact.</li><li><strong>Driving Business Impact:</strong> Identify opportunities to apply machine learning to solve complex business challenges, directly contributing to key metrics such as user engagement, conversion, and overall revenue.</li><li><strong>Leveraging & Contributing to ML Platform:</strong> Partner with the Machine Learning Platform team to utilize existing infrastructure and provide critical feedback and requirements to shape the platform's future direction.</li><li><strong>Setting Technical Standards:</strong> Champion best practices for MLOps, code quality, testing, and deployment, ensuring the reliability and maintainability of our ML application stack.</li><li><strong>Evangelize ML throughout the organization:</strong> Communicate results and methodology effectively within the team and to external stakeholders</li></ul><strong>Key Competencies:</strong><strong>Technical Skills:</strong><ul><li>Proven experience in the end-to-end development and deployment of machine learning solutions, including successfully transitioning models to production environments.</li><li>Strong programming proficiency, particularly in Python and SQL, coupled with a solid understanding of software engineering best practices and principles as applied to machine learning system development.</li><li>Experience with cloud platforms such as AWS, Azure, or GCP, and familiarity with MLOps practices.</li><li>Hands-on experience with key machine learning frameworks and libraries (e.g., PyTorch, Scikit-Learn, XGBoost) and expertise in relevant AI subfields such as Deep Learning, Natural Language Processing (NLP), and Computer Vision</li><li>Familiarity with Large Language Models (LLMs) and other advanced AI tools, including potential applications of AI agents, and a strong interest in staying updated on the latest developments in the field.</li></ul><strong>Interpersonal Skills:</strong><ul><li>Ability to collaborate effectively across teams and communicate with key stakeholders</li></ul><strong>Problem-Solving and Decision-Making:</strong><ul><li>A proactive self-starter with a strong ability to learn quickly and work independently, demonstrating the desire and readiness to manage an increasing level of responsibility</li></ul><strong>Minimum Qualifications:</strong><ul><li><strong>Experience:</strong> 5+ years of industry experience</li></ul><strong>Preferred Qualifications:</strong><ul><li><strong>Education: </strong>Bachelors in Computer Science or similar</li></ul><strong>Performance Metrics:</strong><p><strong>Direct</strong></p><p>Business impact (NARPAU, GMV, Revenue)</p><p></p><p><strong>What We can Offer:</strong></p><ul><li>Flexible PTO</li><li>Competitive salary & equity package</li><li>Monthly Gametime credits for any event ($1,200/yr)</li><li>Medical, dental, & vision insurance</li><li>Life insurance and disability benefits</li><li>Diverse Family-forming benefits through Carrot Fertility</li><li>401k, HSA, pre-tax savings programs</li><li>Company off-sites and meet-ups</li><li>Wellness programs</li><li>Tenure recognition</li></ul><p><br><br></p><div><div><p>At Gametime pay ranges are subject to change and assigned to a job based on specific market median of similar jobs according to 3rd party salary benchmark surveys. Individual pay within that range can vary for several reasons including <span class="long-word">skills/capabilities,</span> experience, and available budget.</p></div><div>United States - Pay Range</div><div>$195,000—$230,000 USD</div></div><div><p><strong>Gametime is committed to bringing together individuals from different backgrounds and perspectives. We strive to create an inclusive environment where everyone can thrive, feel a sense of belonging, and do great work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, veteran status, sex, parental status, gender identity or expression, transgender status, sexual orientation, national origin, age, disability or genetic information. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our company.</strong></p></div></div></div>

Question	Topic	Difficulty	Ask Chance
Boarding Times Bias	Statistics	Medium	Very High
Decreasing Comments	Product Metrics	Easy	Very High
Hundreds of Hypotheses	Statistics	Medium	Very High

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