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Data Structures & Algorithms

Given two sorted lists, write a function to merge them into one sorted list.

Merge Sorted Lists

Compute Deviation

Get Top N Frequent Words

Weekly Aggregation

Given an integer N, write a function that returns all of the prime numbers up to N

Prime to N

Select the 2nd highest salary in the engineering department

2nd Highest Salary

Write a SQL query to create a histogram of the number of comments per user in the month of January 2020.

Comments Histogram

Write a query that returns all neighborhoods that have 0 users.

Empty Neighborhoods

Closest SAT Scores

Subscription Overlap

Machine Learning

Encoding Categorical Features

Coefficients of Logistic Regression

Booking Regression

Say you are given a dataset of perfectly linearly separable data. What would happen when you run logistic regression?

Perfectly Separable

Bank Fraud Model

Probability

First to Six

500 Cards

Raining in Seattle

Found Item

Jars and Coins

A/B Testing

Experiment Validity

How do we go about selecting the best 10,000 customers for the pre-launch?

Pre-Launching Shows

Delivery Estimate Model

Button AB Test

A/B Test Power Size

<p>When an interviewer asks a question along the lines of:</p>

<ul>
<li>What would your current manager say about you? What constructive criticisms might he give?</li>
<li>What are your three biggest strengths and weaknesses you have identified in yourself?</li>
</ul>

<p>How would you respond?</p>


<p>When asked about your strengths in an interview, what is an effective way to respond?</p>

When asked about your strengths in an interview, what is an effective way to respond?

Your Strengths and Weaknesses I

<p>Which of the following is an acceptable strategy when discussing weaknesses in an interview?</p>

Which of the following is an acceptable strategy when discussing weaknesses in an interview?

Your Strengths and Weaknesses II

What do you tell an interviewer when they ask you what your strengths and weaknesses are?

Your Strengths and Weaknesses

Brainteasers

<p>When an interviewer asks you a question along the lines of:</p>

<ul>
<li>Why did you apply to our company?</li>
<li>What are you looking for in your next job?</li>
<li>What makes you a good fit for our company?</li>
</ul>

<p>How should you respond?</p>


<p>When asked 'What are you looking for in your next job?' in an interview, how can you tie the company's employee benefits into your response?</p>

When asked 'What are you looking for in your next job?' in an interview, how can you tie the company's employee benefits into your response?

Why Do You Want to Work With Us I

<p>How can company values be used effectively in an interview when asked 'What makes you a good fit for our company?'</p>

How can company values be used effectively in an interview when asked 'What makes you a good fit for our company?'

Why Do You Want to Work With Us II

<p>When responding to the question 'Why did you apply to our company?' during an interview, what aspect should you highlight?</p>

When responding to the question 'Why did you apply to our company?' during an interview, what aspect should you highlight?

Why Do You Want to Work With Us III

How would you answer when an Interviewer asks why you applied to their company?

Why Do You Want to Work With Us

<p>Describe a data project you worked on. What were some of the challenges you faced?</p>


Describing a data project and its challenges

Hurdles In Data Projects

Analytics

<p>How would you explain what a p-value is to someone who is not technical?</p>


<p>What does a p-value in a statistical test represent?</p>

What does a p-value in a statistical test represent?

P-value to a Layman I

<p>In a statistical test, how does a low p-value (less than 0.05) influence our decision about the null hypothesis?</p>

In a statistical test, how does a low p-value (less than 0.05) influence our decision about the null hypothesis?

P-value to a Layman II

P-value to a Layman

Statistics

<p>Let’s say that you’re training a classification model.</p>

<p>How would you combat overfitting when building tree-based models?</p>


Let's say that you're training a classification model.   How would you combat overfitting when building tree-based models?

Overfit Avoidance

<p>What are the assumptions of linear regression?</p>


Which assumption of the residuals of the standard linear regression model can not be overcome by increasing the sample size?

Regression assumptions

What are the assumptions of linear regression?

Assumptions of Linear Regression

<p>How would you handle the data preparation for building a machine learning model using imbalanced data?</p>


Addressing imbalanced data in machine learning through carefully prepared techniques.

Data Preparation for Imbalanced Data

<p>Let’s say we’re comparing two machine learning algorithms. In which case would you use a bagging algorithm versus a boosting algorithm? </p>

<p>Give an example of the tradeoffs between the two.</p>


<p>In machine learning, when would you use a bagging algorithm over a boosting algorithm?</p>


In machine learning, when would you use a bagging algorithm over a boosting algorithm?

Bagging vs. Boosting

Bagging vs Boosting

<p>Given a string, write a function to determine if it is palindrome or not.</p>

<p><em>Note: A palindrome is a word/string that is read the same way forward as it is backward, e.g. <code>&#39;reviver&#39;</code>, <code>&#39;madam&#39;</code>, <code>&#39;deified&#39;</code> and <code>&#39;civic&#39;</code> are all palindromes, while <code>&#39;tree&#39;</code>, <code>&#39;music&#39;</code> and <code>&#39;person&#39;</code> are not palindromes.</em></p>

<p><strong>Example:</strong></p>

<p><strong>Input:</strong></p>

<pre tabindex="0" class="chroma"><code><span class="line"><span class="cl"><span class="n">word1</span> <span class="o">=</span> <span class="s2">&#34;tree&#34;</span>
</span></span><span class="line"><span class="cl"><span class="n">word2</span> <span class="o">=</span> <span class="s2">&#34;radar&#34;</span>
</span></span></code></pre>

<p><strong>Output:</strong></p>

<pre tabindex="0" class="chroma"><code><span class="line"><span class="cl"><span class="k">def</span> <span class="nf">is_palindrome</span><span class="p">(</span><span class="n">word1</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="kc">False</span>
</span></span><span class="line"><span class="cl"><span class="k">def</span> <span class="nf">is_palindrome</span><span class="p">(</span><span class="n">word2</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="kc">True</span>
</span></span></code></pre>


Given a string, write a function to determine if it is palindrome or not.

String Palindromes

<p>Write a SQL query to select the 2nd highest salary in the engineering department.</p>

<p><strong>Note:</strong> If more than one person shares the highest salary, the query should select the next highest salary.</p>

<p><strong>Example:</strong></p>

<p><strong>Input:</strong></p>

<p><code>employees</code> table</p>

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>first_name</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>last_name</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>salary</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>department_id</code></td>
<td>INTEGER</td>
</tr>
</tbody>
</table>
<p><code>departments</code> table</p>

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>name</code></td>
<td>VARCHAR</td>
</tr>
</tbody>
</table>
<p><strong>Output:</strong></p>

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>salary</code></td>
<td>INTEGER</td>
</tr>
</tbody>
</table>


<p>Imagine you are asked to build a machine learning model to decide new loan approvals for a
financial firm. You ask the data department in the company for a subset of data to get started
working on the problem. The data includes different features about applicants such as age,
occupation, zip code, height, number of children, favorite color, etc. You decide to build
multiple machine learning models to test out different ideas before settling on the best one.</p>

<p>How would you explain the bias-variance tradeoff with regards to
building and choosing a model to use?</p>


Bias vs. Variance Tradeoff

<p>Explain the difference between the XGBoost and random forest algorithms and give an example where you would use one over the other.</p>


<p>Why might a data scientist choose to use XGBoost instead of Random Forest for a particular machine learning task?</p>


Why might a data scientist choose to use XGBoost instead of Random Forest for a particular machine learning task?

XGBoost vs Random Forest: Choice

Xgboost vs Random Forest

<p>How does random forest generate the forest? Additionally, why would we use it over other algorithms such as logistic regression?</p>


<p>What happens when you average the output on multiple decision trees?</p>


What happens when you average the output on multiple decision trees?

Average Trees

Random Forest Explanation

<p>What is the difference between Logistic and Linear Regression?</p>

<p>When would use one instead of the other in practice?</p>


What is the difference between Logistic and Linear Regression?

Linear vs Logistic Regression

<p>Let’s say that you work at a B2B SAAS company that’s interested in testing the pricing of different levels of subscriptions.</p>

<p>Your project manager comes to you and asks you to run a two-week-long A/B test to test an increase in pricing.</p>

<p>How would you approach designing this test?  How would you determine whether the increase in pricing is a good business decision?</p>


Testing Price Increase

<p>Tell me about a project in which you had to clean and organize a large dataset.</p>


Describing a real-world data cleaning and organization project

Data Cleaning Experiences

Data Pipelines

<p>Create a class named <strong><code>LRUCache</code></strong> that implements the behavior expected of a Least Recently Used (LRU) Cache.</p>

<p>The <strong><code>LRUCache</code></strong> class implements the following methods:</p>

<ul>
<li><strong><code>__init__(self, capacity)</code></strong> - initializes the object and takes in a capacity parameter specifying the maximum capacity of the cache.</li>
<li><strong><code>get_if_exists(self, key) -&gt; Any|None</code></strong> - gets a value based on a key. If the key exists, returns the associated value. If the key has expired or did not exist in the first place, returns <code>None</code>.</li>
<li><strong><code>put(self, key, value)</code></strong> - places a value inside the cache. In the case wherein the cache is full, invalidates the least recently used element. When two keys collide, the older value should be invalidated in place of the new one.</li>
</ul>

<p><strong>Example:</strong></p>

<pre tabindex="0" class="chroma"><code><span class="line"><span class="cl"><span class="n">cache</span> <span class="o">=</span> <span class="n">LRUCache</span><span class="p">(</span><span class="mi">2</span><span class="p">)</span>
</span></span><span class="line"><span class="cl"><span class="n">cache</span><span class="o">.</span><span class="n">put</span><span class="p">(</span><span class="s2">&#34;sample&#34;</span><span class="p">,</span> <span class="mi">55</span><span class="p">)</span>
</span></span><span class="line"><span class="cl"><span class="n">cache</span><span class="o">.</span><span class="n">get_if_exists</span><span class="p">(</span><span class="s2">&#34;sample&#34;</span><span class="p">)</span>  <span class="c1"># returns 55</span>
</span></span><span class="line"><span class="cl"><span class="n">cache</span><span class="o">.</span><span class="n">get_if_exists</span><span class="p">(</span><span class="s2">&#34;key&#34;</span><span class="p">)</span>  <span class="c1"># returns None</span>
</span></span><span class="line"><span class="cl"><span class="n">cache</span><span class="o">.</span><span class="n">put</span><span class="p">(</span><span class="s2">&#34;hello&#34;</span><span class="p">,</span> <span class="mi">10</span><span class="p">)</span> 
</span></span><span class="line"><span class="cl"><span class="n">cache</span><span class="o">.</span><span class="n">put</span><span class="p">(</span><span class="s2">&#34;sample&#34;</span><span class="p">,</span> <span class="mi">9</span><span class="p">)</span>
</span></span><span class="line"><span class="cl"><span class="n">cache</span><span class="o">.</span><span class="n">put</span><span class="p">(</span><span class="s2">&#34;world&#34;</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
</span></span><span class="line"><span class="cl"><span class="n">cache</span><span class="o">.</span><span class="n">get_if_exists</span><span class="p">(</span><span class="s2">&#34;hello&#34;</span><span class="p">)</span>  <span class="c1"># returns None</span>
</span></span></code></pre>

<p>Notes:</p>

<ul>
<li><p>It is assured that the value in the <strong><code>put</code></strong> method will never receive a <code>None</code> value. Moreover, it is assured that the capacity will always be &gt; 0.</p></li>

<li><p>All operations must be O(1).</p></li>

<li><p>Aside from Python’s standard dictionary implementation (<code>{}</code>), you may not use any other built-in data structures.</p></li>
</ul>


LRU Cache 1

<p>A team wants to A/B test multiple different changes through a sign-up funnel.</p>

<p>For example, on a page, a button is currently red and at the top of the page. They want to see if changing a button from red to blue and/or from the top of the page to the bottom of the page will increase click-through.</p>

<p>How would you set up this test?</p>


<p>Your team wants to run an AB test on the color (red or blue) and position (top/bottom of the page) of a button that links to a promotion.</p>

<p>How many different variants of the test should you run to see the effect that a red button has on the bottom of the page, if currently the button is blue and on the top of the page.</p>


Your team wants to run an AB test on the color (red or blue) and position (top/bottom of the page) of a button that links to a promotion.

How many different variants of the test should you run to see the effect that a red button has on the bottom of the page, if currently the button is blue and on the top of the page.

A/B Test Variants

<p>Let’s say we want to launch a re-design of a landing page to improve the click-through rate. We can do this by implementing an AB test.
Given that we launch an AB test, how would you infer if the results of the click-through rate were statistically significant or not?</p>


<p>How can you accurately conclude if the results of an A/B test, conducted to evaluate the effectiveness of a landing page redesign, are statistically significant?</p>


How can you accurately conclude if the results of an A/B test, conducted to evaluate the effectiveness of a landing page redesign, are statistically significant?

Statistically Significant Test

Precisely ascertain whether the outcomes of an A/B test, executed to assess the impact of a landing page redesign, exhibit statistical significance.

<p>Given an array and a target integer, write a function <code>sum_pair_indices</code> that returns the indices of two integers in the array that add up to the target integer. If not found, just return an empty list.</p>

<p><em>Note: Can you do it on $O(n)$ time?</em></p>

<p><em>Note: Even though there could be many solutions, only one needs to be returned.</em></p>

<p><strong>Example 1:</strong></p>

<p><strong>Input:</strong></p>

<pre tabindex="0" class="chroma"><code><span class="line"><span class="cl"><span class="n">array</span> <span class="o">=</span> <span class="p">[</span><span class="mi">1</span> <span class="mi">2</span> <span class="mi">3</span> <span class="mi">4</span><span class="p">]</span> 
</span></span><span class="line"><span class="cl"><span class="n">target</span> <span class="o">=</span> <span class="mi">5</span> 
</span></span></code></pre>

<p><strong>Output:</strong></p>

<pre tabindex="0" class="chroma"><code><span class="line"><span class="cl"><span class="k">def</span> <span class="nf">sum_pair_indices</span><span class="p">(</span><span class="n">array</span><span class="p">,</span> <span class="n">target</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="p">[</span><span class="mi">0</span> <span class="mi">3</span><span class="p">]</span> <span class="ow">or</span> <span class="p">[</span><span class="mi">1</span> <span class="mi">2</span><span class="p">]</span>
</span></span></code></pre>

<p><strong>Example 2:</strong></p>

<p><strong>Input:</strong></p>

<pre tabindex="0" class="chroma"><code><span class="line"><span class="cl"><span class="n">array</span> <span class="o">=</span> <span class="p">[</span><span class="mi">3</span><span class="p">]</span>
</span></span><span class="line"><span class="cl"><span class="n">target</span> <span class="o">=</span> <span class="mi">6</span> 
</span></span></code></pre>

<p><strong>Output:</strong></p>

<pre tabindex="0" class="chroma"><code><span class="line"><span class="cl"><span class="n">Do</span> <span class="n">NOT</span> <span class="k">return</span> <span class="p">[</span><span class="mi">0</span> <span class="mi">0</span><span class="p">]</span> <span class="k">as</span> <span class="n">you</span> <span class="n">can</span><span class="s1">&#39;t use an index twice.</span>
</span></span></code></pre>


Given an array and a target integer, write a function that returns the indices of two integers in the array that add up to the target integer.

Target Indices

<p>Let’s say that your company is running a standard control and variant AB test on a feature to increase conversion rates on the landing page. The PM checks the results and finds a .04 p-value.</p>

<p>How would you assess the validity of the result?</p>


<p>Let’s say that you work at a bank that wants to build a model to detect fraud on the platform.</p>

<p>The bank wants to implement a text messaging service in addition that will text customers when the model detects a fraudulent transaction in order for the customer to approve or deny the transaction with a text response.</p>

<p>How would we build this model?</p>


<p>Let’s say that you work at a bank that wants to build a model to detect fraud on the platform.</p>

<p>The bank wants to implement a text messaging service that will text customers when the model detects a fraudulent transaction in order for the customer to approve or deny the transaction with a text response.</p>

<p>Which statement is true?</p>


Let's say that you work at a bank that wants to build a model to detect fraud on the platform.

The bank wants to implement a text messaging service that will text customers when the model detects a fraudulent transaction in order for the customer to approve or deny the transaction with a text response.

Which statement is true?

<p>Given an integer <code>N</code>, write a function that returns a list of all of the prime numbers up to <code>N</code>.</p>

<p><em>Note: Return an empty list there are no prime numbers less than or equal to <code>N</code>.</em></p>

<p><strong>Example:</strong></p>

<p><strong>Input:</strong></p>

<pre tabindex="0" class="chroma"><code><span class="line"><span class="cl"><span class="n">N</span> <span class="o">=</span> <span class="mi">3</span>
</span></span></code></pre>

<p><strong>Output:</strong></p>

<pre tabindex="0" class="chroma"><code><span class="line"><span class="cl"><span class="k">def</span> <span class="nf">prime_numbers</span><span class="p">(</span><span class="n">N</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="p">[</span><span class="mi">2</span><span class="p">,</span><span class="mi">3</span><span class="p">]</span>
</span></span></code></pre>


<p>Regularization and cross-validation are two common techniques used to improve the performance of machine learning algorithms.</p>

<p>When should you use one versus the other?</p>


<p>Given the choices below, which one is an example of a scenario where we should be using regularization?</p>


Given the choices below, which one is an example of a scenario where we should be using regularization?

Regularization Example

Regularization and Validation

<p>What’s the difference between Lasso and Ridge Regression?</p>


<p>Under what circumstances is it recommended to use Lasso regression over Ridge regression?</p>

Under what circumstances is it recommended to use Lasso regression over Ridge regression?

Lasso vs Ridge

<h1>Binary Tree Validation</h1>

<p>You are given the root of a binary tree. You need to determine if it is a valid binary search tree (BST).</p>

<p>A valid BST is defined as follows:</p>

<ul>
<li>The left subtree of a node contains only nodes with values less than or equal to the node’s value.</li>
<li>The right subtree of a node contains only nodes with values greater than or equal to the node’s value.</li>
<li>Both the left and right subtrees must also be binary search trees.</li>
</ul>

<p>Given the function <code>def is_valid_bst(root: Node) -&gt; bool:</code>, return True if the binary tree is a valid BST. Otherwise, return False.</p>

<h3>Example:</h3>

<p><strong>Input:</strong></p>

<p><img src="https://d2qpirhrfplx04.cloudfront.net/9664817c-3e12-4a40-9236-8382b13f55a0.png" alt="image"/>Converted Binary Tree.png</p>

<p><strong>Output:</strong></p>

<pre tabindex="0" class="chroma"><code><span class="line"><span class="cl"><span class="k">def</span> <span class="nf">is_valid_bst</span><span class="p">(</span><span class="n">Node</span><span class="p">(</span><span class="mi">3</span><span class="p">))</span> <span class="o">-&gt;</span> <span class="kc">True</span>
</span></span></code></pre>


Given the root node, verify if a binary search tree is valid or not.

Binary Tree Validation

<p>How would you convey insights and the methods you use to a non-technical audience?</p>


Making data-driven insights actionable for those without technical expertise

Simple Explanations

<p>Let’s say you are working on Google Docs. A product manager comes to you and asks how the product is doing. </p>

<p>What are the top five metrics that you would start tracking to understand the health of Google Docs?</p>


Docs Metrics

Product Sense & Metrics

<p>What’s the relationship between PCA and K-means clustering?</p>


<p>What does the variable “k” in k-means clustering refer to?</p>


What does the variable "k" in k-means clustering refer to?

Input of K-means

PCA and K-Means

<p>Let’s say you’re a data engineer at Fidelity Investments, and you’re running a SQL query on a cloud-based data warehouse. All cluster resources and network health metrics look normal, but the query is still taking over 10 minutes to complete.</p>

<p>How would you go about diagnosing and improving the performance of this query?</p>


How would you diagnose and speed up a slow SQL query when system metrics look healthy?

Slow SQL Query

Query Optimization

Challenge

Stubhub Salaries by Position

<h5>Senior Software Engineer - AI Platform </h5><p>StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. </p><p>We're seeking a Senior Software Engineer AI Enablement to help shape how StubHub adopts and scales AI across the company. This role is about making AI practical, safe, and valuable by empowering teams to experiment confidently, automate intelligently, and deliver better outcomes faster. You'll work across technical and business domains to design tools, frameworks, and patterns that make AI accessible to everyone, not just machine learning experts. </p><p>Why We Need You </p><p>We're looking for experienced AI Engineers to lead the development and implementation of AI-driven capabilities across our organization. This role is critical in introducing cutting-edge AI tooling, defining and scaling best practices, and building custom models that solve real business problems. You'll partner closely with cross-functional teams to identify high-impact use cases, architect and deploy robust AI solutions, and help shape the company's broader AI strategy. The ideal candidate blends deep technical expertise in machine learning, LLMs, and MLOps with the ability to think strategically, influence stakeholders, and deliver scalable, production-ready systems that create measurable value for the business. </p><p>Location: Hybrid (3 days in office/2 days remote) Aliso Viejo, CA or Santa Monica, CA or San Francisco, CA </p><p>What You'll Do </p><p>AI Tooling & Infrastructure </p><ul> <li>Design and implement internal AI platforms and tools that make it easy for teams to build with generative and agentic AI. </li><li>Develop reusable components for prompt orchestration, model evaluation, and workflow automation. </li><li>Partner with engineers, data scientists, and product teams to embed AI into StubHub's core products and internal processes. </li><li>Define patterns and frameworks for safe, scalable, and effective AI usage. </li></ul> <p>Enablement & Best Practices </p><ul> <li>Lead by example in applying AI to real business challenges, from customer support to pricing insights to developer productivity. </li><li>Navigate ambiguity with curiosity and creativity by shaping direction even when problems aren't fully defined. </li><li>Engage deeply with business teams to understand their requirements, challenges, and workflows: translating those insights into innovative, AI-driven solutions. </li><li>Create playbooks, workshops, and documentation to help teams become confident AI practitioners. </li><li>Establish principles for prompt engineering, data quality, and human-in-the-loop feedback. </li><li>Foster a culture of responsible experimentation and continuous improvement. </li></ul> <p>Agentic & Generative AI Development </p><ul> <li>Build and optimize AI agents that enhance workflows, automate tasks, and provide insights. </li><li>Prototype and refine LLM-powered solutions using modern frameworks and APIs. </li><li>Track performance, measure impact, and evolve solutions over time based on real-world usage. </li></ul> <p>What You've Done </p><ul> <li>6+ years of hands-on experience in software engineering, AI development, or technical solution delivery </li><li>Delivered real impact through AI, automation, or data-driven solutions whether as an engineer, analyst, or product builder. </li><li>Collaborated across teams to identify use cases, define success, and deploy working systems that improved outcomes. </li><li>Adapted and learned fast, experimenting with new AI tools and frameworks to find practical, scalable solutions. </li><li>Balanced hands-on building with strategic thinking understanding when to ship, when to experiment, and when to scale. </li><li>Experience integrating or deploying AI systems (e.g., chatbots, assistants, RAG pipelines, or workflow agents). </li><li>Comfortable working with modern software environments (cloud platforms, APIs, version control, CI/CD). </li><li>Excellent communication and storytelling skills able to translate technical work into clear business value. </li></ul> <p>It would be nice if you have: </p><ul> <li>Experience enabling organizational AI adoption or building internal AI platforms or tools. </li><li>Familiarity with LLM frameworks (LangChain, OpenAI, Anthropic, HuggingFace, etc.). </li><li>Understanding of data privacy, compliance, and ethical AI practices (GDPR, CCPA). </li><li>Background in change management, developer enablement, or digital transformation. </li><li>Degree in Computer Science, Data Science, or a related technical field (or equivalent hands-on experience). </li></ul> <p>What We Offer: </p><ul> <li>Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale. </li><li>Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact. </li><li>Flexible Time Off: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed. </li><li>Comprehensive Benefits Package: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options. </li></ul> <p>Salary Range </p><p>$200,000 - $250,000 USD </p><p>About Us </p><p>StubHub is the world's leading marketplace to buy and sell tickets to any live event, anywhere. Through StubHub in North America and viagogo, our international platform, we service customers in 195 countries in 33 languages and 49 available currencies. With more than 300 million tickets available annually on our platform to events around the world -- from sports to music, comedy to dance, festivals to theater -- StubHub offers the safest, most convenient way to buy or sell tickets to the most memorable live experiences. Come join our team for a front-row seat to the action. </p><p>We are an equal opportunity employer and value diversity on our team. We do not discriminate on the basis of race, color, religion, sex, national origin, gender, sexual orientation, age, disability, veteran status, or any other legally protected status. </p>

<h3>Job Description</h3><div>Job Description<div><div><p>StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world.</p></div><div><p>As a Strategy & Analytics Manager, you'll play a hybrid role at the intersection of analytics, strategy, product, operations and finance. You'll use analytics to identify high-impact efficiency opportunities and lead by influence cross-functionally to execute on these ideas. You'll be partnering closely with engineers, analysts, operations and finance leaders. </p><p>If you're excited to turn data into efficiency dollars saved that can be re-invested into growth and customer retention, we'd love to hear from you. </p></div><div><em><strong>Location:</strong> Hybrid (3 days in office / 2 days remote) – New York, NY </em></div><div><p><strong>What You'll Do:</strong></p></div><ul><li><strong>Lead the customer experience efficiency strategy: </strong>Put in place the quantitative framework to measure efficiency and identify opportunities </li><li><strong>Drive waste elimination</strong>: identify high-spend/low-return areas, size opportunities, and lead cross-functional programs to remove, reduce, or reallocate spend; track benefits to the P&L </li><li><strong>Own the multi-hundred million customer experience cost data platform</strong> end-to-end: define the model, build pipelines with <span class="long-word">Engineering/Analytics,</span> and deliver accurate, near real-time views of cost, waste, and ROI </li><li><strong>Attribute every dollar spent on customer experience</strong>: tie spend to policies, products, workflows and customer cohorts; reconcile with Finance to create one source of truth, available in real time </li><li><strong>Turn policy into P&L</strong>: quantify the financial impact of operational and product choices; embed cost/benefit guardrails into planning, experimentation, and business cases </li><li><strong>Bridge Operations and Finance</strong>: establish trust through crisp reconciliation, driver-based forecasting, and explainable variances—building confidence up to and including the CFO. </li></ul><p><strong>What You've Done:</strong></p><ul><li><strong>4-8+ years</strong> of experience in strategy, analytics, business operations, consulting or finance, ideally in a tech or marketplace environment; operating comfortably across business and Finance</li><li><strong>Excellent analytical and technical skills</strong>: strong SQL proficiency and a solid understanding of database architecture; you wouldn't be out of place on an Analytics Engineering team. </li><li>Track record as a <strong>highly effective operator</strong>: Demonstrated success in owning cross-functional initiatives from concept through execution </li><li><strong>Exceptional communication</strong>: you simplify complexity, write tight narratives, and present confidently to senior leadership (up to CFO/COO). </li></ul><p><strong>What We Offer:</strong></p><ul><li><strong>Accelerated Growth Environment</strong>: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale.</li><li><strong>Top Tier Compensation Package</strong>: Competitive base, equity, and upside that tracks with your impact.</li><li><strong>Flexible Time Of</strong>f: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed.</li><li><strong>Comprehensive Benefits Package</strong>: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options.</li></ul><div><div><p>The anticipated gross base pay range is below for this role. Actual compensation will vary depending on factors such as a candidate's qualifications, skills, experience, and competencies. Base annual salary is one component of StubHub's total compensation and competitive benefits package, which includes equity, 401(k), paid time off, paid parental leave, and comprehensive health benefits. </p></div><div>Salary Range</div><div>$175,000—$270,000 USD</div></div><div><div><strong>About Us</strong></div><div>StubHub is the world's leading marketplace to buy and sell tickets to any live event, anywhere. Through StubHub in North America and viagogo, our international platform, we service customers in 195 countries in 33 languages and 49 available currencies. With more than 300 million tickets available annually on our platform to events around the world -- from sports to music, comedy to dance, festivals to theater -- StubHub offers the safest, most convenient way to buy or sell tickets to the most memorable live experiences. Come join our team for a front-row seat to the action. </div><div></div><div>For California Residents: California Job Applicant Privacy Notice found here</div><div></div><div><strong>We are an equal opportunity employer and value diversity on our team. We do not discriminate on the basis of race, color, religion, sex, national origin, gender, sexual orientation, age, disability, veteran status, or any other legally protected status.</strong></div></div></div></div>

<h5>Senior Product Manager - International Payments </h5><p>StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. </p><p>Payments & Checkout owns the end-to-end flow that enables fans to purchase tickets on StubHub. We build the systems that make buying tickets simple, reliable, and accessible across languages, currencies, and payment preferences. This work sits at the heart of StubHub's business: without a seamless checkout experience, live events don't happen. </p><p>International Payments is a critical pillar of this mission. Our goal is to ensure that fans around the world can complete a purchase using the payment methods they trust, with high authorization rates and minimal friction regardless of market-specific complexity. Success in this space directly drives global growth by making StubHub a truly international marketplace. </p><p>Location: Hybrid (3 days in office/2 days remote) New York, NY </p><p>About the role: As Senior Product Manager International Payments, you will be the clear owner of StubHub's international payments experience. You'll focus on improving international buyer pipeline completion and authorization rates by expanding payment method coverage, orchestrating authorization optimization initiatives, and building adaptable systems that perform across diverse global markets. </p><p>This is a senior, hands-on product role designed for someone with deep experience in payments, fintech, or fraud technology. You'll work closely with engineering, data science, risk, and operations to solve complex approval-rate challenges balancing global consistency with local optimization and making thoughtful build vs. buy decisions at scale. </p><p>If you're excited by the intersection of consumer experience, financial infrastructure, and global systems design, this role offers a rare opportunity to shape the payments foundation that enables live events for millions of fans worldwide. </p><h5>What You'll Do: </h5><p>Own International Payments Performance </p><ul> <li>Serve as the end-to-end product owner for international payments, with accountability for buyer pipeline completion and authorization performance outside North America. </li><li>Identify and prioritize opportunities to improve conversion across markets with different payment norms, issuer behaviors, and risk profiles. </li><li>Define success metrics and drive sustained improvements in international checkout reliability and performance. </li></ul> <p>Expand and Optimize Payment Capabilities </p><ul> <li>Lead integrations with new international payment methods and providers, ensuring scalable, reliable implementations. </li><li>Make strategic localization vs. global standardization decisions across payment flows, configurations, and experiences. </li><li>Design and evolve routing strategies, merchant descriptors, and issuer-facing optimizations to improve authorization outcomes. </li></ul> <p>Build Intelligent, Adaptive Authorization & Risk Systems </p><ul> <li>Partner with engineering and data science to build and evolve adaptable international fraud and authorization systems. </li><li>Orchestrate initiatives across internal models, payment routing, and third-party tools to improve end-to-end performance. </li><li>Understand how fraud controls, issuer behavior, and payment methods interact across different markets. </li></ul> <p>Lead Complex, Cross-Functional Execution </p><ul> <li>Work closely with engineering, data science, risk, and operations teams to deliver high-impact initiatives from concept to launch. </li><li>Drive build vs. buy decisions, evaluating vendors and internal capabilities with a focus on speed, scalability, and long-term flexibility. </li><li>Translate complex payments and fraud challenges into clear product strategy and execution plans. </li></ul> <h5>What You've Done: </h5><ul> <li>58+ years of experience in product management, with significant experience in payments, fintech, fraud technology, or adjacent financial systems. </li><li>Strong technical and analytical fluency comfortable working with SQL, payments data, and complex system flows. </li><li>Experience integrating with payment methods, processors, and fraud tools, including vendor evaluation and system design. </li><li>Ability to operate independently in ambiguous problem spaces, setting direction while driving hands-on execution. </li><li>Systems thinker who understands how checkout experience, authorization logic, and risk controls interact across a global ecosystem. </li><li>Strong cross-functional leadership skills, with experience partnering closely with engineering, data science, risk, and operations teams. </li></ul> <h5>What We Offer: </h5><ul> <li>Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale. </li><li>Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact. </li><li>Flexible Time Off: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed. </li><li>Comprehensive Benefits Package: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options. </li></ul> <p>The anticipated gross base pay range is below for this role. Actual compensation will vary depending on factors such as a candidate's qualifications, skills, experience, and competencies. Base annual salary is one component of StubHub's total compensation and competitive benefits package, which includes equity, 401(k), paid time off, paid parental leave, and comprehensive health benefits. </p><p>Salary Range $175,000 - $270,000 USD </p><p>About Us StubHub is the world's leading marketplace to buy and sell tickets to any live event, anywhere. Through StubHub in North America and viagogo, our international platform, we service customers in 195 countries in 33 languages and 49 available currencies. With more than 300 million tickets available annually on our platform to events around the world -- from sports to music, comedy to dance, festivals to theater -- StubHub offers the safest, most convenient way to buy or sell tickets to the most memorable live experiences. Come join our team for a front-row seat to the action. </p><p>We are an equal opportunity employer and value diversity on our team. We do not discriminate on the basis of race, color, religion, sex, national origin, gender, sexual orientation, age, disability, veteran status, or any other legally protected status. </p>

<h5>Senior Product Manager - Data </h5><p>StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. </p><p>StubHub is looking for a Senior Product Manager with a passion for solving complicated data problems for the Catalog Team. The Catalog Team forms the backbone of the StubHub consumer experience allowing other downstream teams to leverage and build upon structured data sets. As a Senior Product Manager, you will own the ingestion, enrichment, and serving of the primary data structure that drives our global business. Tangible product work you will solve will be data integration options to enhance our global catalog and solving for how to best model data based on various frontend & data layer use cases. Think of the type of structured data that powers the most feature rich recommendation engines and imagine how you can deliver a roadmap for StubHub to achieve that goal. </p><p>Location: Hybrid (3 days in office/2 days remote) New York, NY or Los Angeles, CA </p><p>About the team: </p><p>The Catalog Team forms the foundation of the StubHub consumer experience and is at the heart of our mission: to connect people with unforgettable experiences. The team is responsible for sourcing and categorizing data as part of the ingestion process, efficiently and meaningfully storing ever-growing stream of data and finally exposing the data to the end-user through comprehensive set of scalable and intuitive interfaces. At a foundational level, Catalog Team aspires to act as an innovation engine for downstream teams - powering the enrichment of experiences on front-end within Consumer Experience, enabling innovative strategies for Customer Service and facilitating more relevant ads for Performance Marketing. Finally, as the source for all visual assets (images, maps, view from seat), Catalog has a pivotal role in changing the look and feel of StubHub's website, serving millions of users a month with engaging visual assets. </p><p>What You'll Do: </p><ul> <li>As the source of product-related data, you will be responsible for ensuring a high bar for data quality and building scalable solutions to provide high quality data and unlock value. </li><li>Help form a view of what a "superb" catalog through working with product and operations teams across the company. </li><li>Drive vision and strategy for the event catalog that powers high-impact consumer experiences like search and discovery, analytics, and recommendations. </li></ul> <p>What You've Done: </p><ul> <li>5+ years working in product management delivering high quality data products. </li><li>History of data driven decision making. </li><li>Bachelors' degree in STEM, finance, economics, or another relevant field. </li><li>Knowledge of SQL and/or data modeling. </li></ul> <p>What We Offer: </p><ul> <li>Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale. </li><li>Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact. </li><li>Flexible Time Off: Embrace a healthy work-life balance with unlimited Flex Time Off, providing you the flexibility to manage your schedule and recharge as needed. </li><li>Comprehensive Benefits Package: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options. </li></ul> <p>Salary Range: $175,000 - $270,000 USD </p><p>About Us: StubHub is the world's leading marketplace to buy and sell tickets to any live event, anywhere. Through StubHub in North America and viagogo, our international platform, we service customers in 195 countries in 33 languages and 49 available currencies. With more than 300 million tickets available annually on our platform to events around the world -- from sports to music, comedy to dance, festivals to theater -- StubHub offers the safest, most convenient way to buy or sell tickets to the most memorable live experiences. Come join our team for a front-row seat to the action. </p><p>We are an equal opportunity employer and value diversity on our team. We do not discriminate on the basis of race, color, religion, sex, national origin, gender, sexual orientation, age, disability, veteran status, or any other legally protected status. </p>

<h3>Job Description</h3><div>Job Description<div><div><p>StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world.</p></div><p>StubHub is hiring an Engineering Manager to lead a critical Payments team responsible for building and operating the systems that power how millions of fans buy and sell tickets globally. This team sits at the core of StubHub's marketplace, owning highly available, secure, and scalable payment flows that directly impact conversion, trust, revenue, and regulatory compliance.</p><p>This is a hands-on technical leadership role for someone who can balance people leadership with strong architectural judgment, operational excellence, and close partnership with Product, Risk, Finance, and Legal. You'll be accountable for delivering resilient systems, developing engineers, and continuously raising the bar on reliability, velocity, and engineering craft.</p><p><em>Location: Hybrid (3 days in office/2 days remote) – New York, NY</em></p><p><strong>Why This Role Matters:</strong></p><p>Payments is one of the most business-critical surfaces at StubHub. Your team owns the systems that enable checkout, payouts, fraud mitigation, and global expansion across a high-volume, high-stakes environment where correctness and uptime are non-negotiable. You'll operate at meaningful scale, make architectural decisions with real financial impact, and help shape how StubHub evolves its payments platform to support new products, markets, and growth initiatives.</p><p>This is a high-visibility role with executive exposure and real ownership. If you enjoy leading teams through complex technical challenges, care deeply about operational rigor, and want to build systems where engineering decisions directly translate to revenue and customer trust, this role is for you.</p><p><strong>What You'll Do:</strong></p><ul><li><strong>Drive measurable impact:</strong> Identify high-leverage problems, set clear goals, and deliver solutions that produce quantifiable business and customer value. </li><li><strong>Lead through execution:</strong> Own team delivery with precision—ensure commitments are met, blockers are resolved quickly, and progress is visible and tracked. </li><li><strong>Raise the bar on talent density:</strong> Hire exceptional engineers, actively coach performance, and make principled decisions to retain only those operating at a high level. </li><li><strong>Promote data-driven decisions:</strong> Use data and metrics to guide priorities, evaluate solutions, and continuously improve how your team operates. </li><li><strong>Own technical quality:</strong> Champion system design, code quality, reliability, and long-term maintainability across your domain. </li><li><strong>Foster team health:</strong> Build a psychologically safe, inclusive team culture grounded in feedback, autonomy, and shared accountability. </li><li><strong>Partner across the business:</strong> Collaborate with Product, Design, and Data to align on priorities, coordinate dependencies, and deliver business-critical initiatives. </li></ul><p><strong>What Success Looks Like:</strong></p><ul><li>Meaningful improvements in customer-facing metrics (e.g., performance, reliability, relevance). </li><li>On-time, high-quality delivery of initiatives tied to company objectives. </li><li>Clear evidence of team growth, engagement, and performance. </li><li>Demonstrated improvement in team operational metrics (e.g., velocity, quality, incident reduction). </li><li>A strong pipeline of internal talent and a team that continuously improves its impact-per-head over time. </li></ul><p><strong>What We're Looking For:</strong></p><ul><li>7+ years of engineering experience, including technical ownership of production systems and business-critical software. </li><li>2+ years of people leadership experience, with a track record of hiring and developing high-performing teams. </li><li>Strong technical background in backend, infrastructure, APIs, or data systems (Java, C++, Python, or similar). </li><li>Proven ability to drive execution, define clear success metrics, and solve complex problems with data and rigor. </li><li>Skilled in managing ambiguity, prioritizing ruthlessly, and delivering under tight timelines. </li><li>Comfortable giving and receiving candid feedback, and modeling it for others. </li></ul><div><strong>What We Offer:<br /></strong></div><div><ul><li><strong>Accelerated Growth Environment</strong>: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale.</li><li><strong>Top Tier Compensation Package</strong>: Competitive base, equity, and upside that tracks with your impact.</li><li><strong>Flexible Time Off</strong>: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed.</li><li><strong>Comprehensive Benefits Package</strong>: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options.</li></ul></div><div><div><p>The anticipated gross base pay range is below for this role. Actual compensation will vary depending on factors such as a candidate's qualifications, skills, experience, and competencies. Base annual salary is one component of StubHub's total compensation and competitive benefits package, which includes equity, 401(k), paid time off, paid parental leave, and comprehensive health benefits. </p></div><div>Salary Range</div><div>$300,000—$400,000 USD</div></div><div><div><strong>About Us</strong></div><div>StubHub is the world's leading marketplace to buy and sell tickets to any live event, anywhere. Through StubHub in North America and viagogo, our international platform, we service customers in 195 countries in 33 languages and 49 available currencies. With more than 300 million tickets available annually on our platform to events around the world -- from sports to music, comedy to dance, festivals to theater -- StubHub offers the safest, most convenient way to buy or sell tickets to the most memorable live experiences. Come join our team for a front-row seat to the action. </div><div></div><div>For California Residents: California Job Applicant Privacy Notice found here</div><div></div><div><strong>We are an equal opportunity employer and value diversity on our team. We do not discriminate on the basis of race, color, religion, sex, national origin, gender, sexual orientation, age, disability, veteran status, or any other legally protected status.</strong></div></div></div></div>

<h5>Senior Software Engineer - Experimentation Platform </h5><p>StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. </p><p>StubHub is seeking Senior Software Engineers to design and develop next-generation technologies and complex features. As a Senior Software Engineer for Experimentation Platform, you will be at the forefront of tackling significant, ambiguous, and non-trivial challenges as a core contributor and innovator, bringing creative technical solutions to life. In order to ensure our company's success, our Senior Software Engineers must demonstrate initiative and enthusiasm for the problems they tackle. StubHub is committed to being a phenomenal and inclusive place to work. As a Senior Software Engineer, you will also be an advocate and mentor for your team members, displaying leadership qualities and being an example for those around you. </p><h5>About the Team </h5><p>The Experimentation Platform team is a cross-functional group of engineers, data scientists, and product leaders dedicated to building a world-class experimentation platform. Our mission is to empower teams across the company to make smarter, data-informed decisions by enabling rapid, reliable, and scalable testing. We partner closely with product, design, and analytics teams to uncover insights, validate ideas, and drive measurable impact. You'll be hands-on in building and evolving StubHub's experimentation platform, working closely with engineers and data scientists to deliver reliable, scalable tools that empower teams to test, learn, and make better decisions. We value curiosity, collaboration, and rigor. Whether it's designing intuitive tools for experiment setup, ensuring statistical correctness at scale, or advancing methodologies in causal inference, we approach every challenge with both creativity and precision. Joining our team means shaping how the organization innovates, learns, and grows while pushing the boundaries of what's possible with experimentation. </p><h5>What You'll Do </h5><ol> <li>Design, develop, test, deploy, and maintain impactful improvements across all StubHub's platforms and products, resulting in high-quality outcomes </li><li>Collaborate with team members to ensure best practices across our code </li><li>Manage individual initiative priorities, deadlines, and deliverables with your technical expertise </li><li>Mentor other team members and help many increase their technical capabilities, fostering a culture of inclusion, results-oriented execution, open innovation, and limitless creativity </li></ol> <h5>What You've Done </h5><ul> <li>5-6+ years of professional experience in software development </li><li>Extensive experience developing robust, mission-critical systems using multiple general-purpose programming languages (e.g., Java, C#) </li><li>Demonstrated expertise in building software with one or more of the following: Infrastructure, Databases, Data Processing, Machine Learning, Distributed Systems, Security, and Privacy </li><li>Previous experience designing and developing solutions to complex problems with significant business impact </li><li>A strong understanding of how their systems interact with the broader production environment, including dependencies and platform primitives </li><li>Proven ability to learn other coding languages, platforms, frameworks, and tools </li><li>Experience owning projects from the initial idea all the way to production </li><li>Experience mentoring junior engineers </li></ul> <h5>What We Offer: </h5><ul> <li>Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale. </li><li>Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact. </li><li>Flexible Time Off: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed. </li><li>Comprehensive Benefits Package: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options </li></ul> <p>Salary Range: $200,000 - $250,000 USD </p><p>StubHub is the world's leading marketplace to buy and sell tickets to any live event, anywhere. Through StubHub in North America and viagogo, our international platform, we service customers in 195 countries in 33 languages and 49 available currencies. With more than 300 million tickets available annually on our platform to events around the world -- from sports to music, comedy to dance, festivals to theater -- StubHub offers the safest, most convenient way to buy or sell tickets to the most memorable live experiences. Come join our team for a front-row seat to the action. </p><p>We are an equal opportunity employer and value diversity on our team. We do not discriminate on the basis of race, color, religion, sex, national origin, gender, sexual orientation, age, disability, veteran status, or any other legally protected status. </p>

<h3>Job Description</h3><div>Job Description<div><div><p>StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world.</p></div><div><div><div><p>StubHub is seeking a Software Engineer II to join a new engineering team building AI-powered consumer experiences that will shape the next evolution of our marketplace.</p><p>This team is focused on reimagining how fans discover, evaluate, and purchase live events using AI-native capabilities embedded directly into our platform. Rather than layering AI onto existing workflows, we are building intelligent systems and modern application architectures that enable dynamic, adaptive, and highly personalized user journeys.</p><p>This is a highly hands-on, fullstack role for engineers who enjoy building new systems from the ground up, moving quickly from prototype to production, and solving complex technical problems at scale.</p><p>You'll work on foundational AI-driven capabilities that power real consumer experiences used by millions of fans globally.</p></div><div><div><em>Location: Hybrid (3 days in office/2 days remote) – New York, NY</em></div></div><div></div><div><strong>About the team: </strong></div><div><p>This team sits within our Consumer App Foundations organization and operates at the intersection of AI, platform engineering, and consumer product innovation.</p><p>We partner closely with product, design, data science, and infrastructure teams to:</p><ul><li>Build intelligent consumer-facing systems</li><li>Develop scalable services supporting AI-driven workflows</li><li>Rapidly prototype and validate new interaction models</li><li>Embed experimentation deeply into the product lifecycle</li><li>Deliver production-ready AI experiences at marketplace scale</li></ul><p>We operate with a startup mindset inside a global consumer platform.</p></div><div>What You'll Do:<ul><li>Design, build, test, deploy, and maintain fullstack systems powering AI-driven consumer features</li><li>Develop scalable backend services and APIs that support intelligent workflows</li><li>Build responsive frontend interfaces using modern frameworks (React, TypeScript)</li><li>Integrate AI/ML services into production environments with a focus on reliability and performance</li><li>Collaborate closely with product and design to iterate on early-stage ideas</li><li>Participate in rapid experimentation and data-driven iteration cycles</li><li>Debug production systems and continuously improve system quality</li></ul></div></div><div>What You've Done:<ul><li>3-5 years of professional experience in software development </li><li>Experience building and shipping fullstack applications using modern frontend frameworks (React, <span class="long-word">JavaScript/TypeScript)</span> and backend technologies (C#, Java, Python, or similar)</li><li>Strong understanding of APIs, distributed systems, and service dependencies</li><li>Experience working on consumer-facing products at scale</li><li>Comfortable operating in ambiguous, fast-evolving environments</li><li>Proven ownership of projects from development through production</li></ul>Nice to have: <ul><li>Experience integrating AI or ML-powered systems into real-world applications</li><li>Exposure to experimentation frameworks or feature flagging systems</li><li>Experience building personalization, recommendation, or automation features</li><li>Marketplace or high-scale consumer product experience</li></ul></div><div><div><strong>What We Offer:</strong></div><ul><li><strong>Accelerated Growth Environment</strong>: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale.</li><li><strong>Top Tier Compensation Package</strong>: Competitive base, equity, and upside that tracks with your impact.</li><li><strong>Flexible Time Of</strong>f: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed.</li><li><strong>Comprehensive Benefits Package</strong>: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options.</li></ul></div></div><div><div><p>The anticipated gross base pay range is below for this role. Actual compensation will vary depending on factors such as a candidate's qualifications, skills, experience, and competencies. Base annual salary is one component of StubHub's total compensation and competitive benefits package, which includes equity, 401(k), paid time off, paid parental leave, and comprehensive health benefits. </p></div><div>Salary Range</div><div>$165,000—$200,000 USD</div></div><div><div><strong>About Us</strong></div><div>StubHub is the world's leading marketplace to buy and sell tickets to any live event, anywhere. Through StubHub in North America and viagogo, our international platform, we service customers in 195 countries in 33 languages and 49 available currencies. With more than 300 million tickets available annually on our platform to events around the world -- from sports to music, comedy to dance, festivals to theater -- StubHub offers the safest, most convenient way to buy or sell tickets to the most memorable live experiences. Come join our team for a front-row seat to the action. </div><div></div><div>For California Residents: California Job Applicant Privacy Notice found here</div><div></div><div><strong>We are an equal opportunity employer and value diversity on our team. We do not discriminate on the basis of race, color, religion, sex, national origin, gender, sexual orientation, age, disability, veteran status, or any other legally protected status.</strong></div></div></div></div>

<h3>Job Description</h3><div>Job Description<div><div><p>StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world.</p></div><p>StubHub is looking for a <strong>Senior Product Manager</strong> with a passion for solving complicated data problems for the Catalog team. Catalog forms the backbone of the StubHub consumer experience allowing other downstream teams to leverage and build upon structured data sets. As a Senior Product Manager, you will own the ingestion, enrichment, and serving of the primary data structure that drives our global business. Tangible product work you will solve will be data integration options to enhance our global catalog and solving for how to best model data based on various frontend & data layer use cases. Think of the type of structured data that powers the most feature rich recommendation engines and imagine how you can deliver a roadmap for StubHub to achieve that goal. </p><p><strong>Location:</strong> Hybrid (3 days in office / 2 days remote) – New York, NY or Century City, CA</p><p><strong>About the Team:</strong><strong> </strong>  </p><p>Catalog forms the foundation of the StubHub consumer experience and is at the heart of our mission: to connect people with unforgettable experiences. The team is responsible for sourcing and categorizing data as part of the ingestion process, efficiently and meaningfully storing ever-growing stream of data and finally exposing the data to the end-user through comprehensive set of scalable and intuitive interfaces. At a foundational level, Catalog team aspires to act as an innovation engine for downstream teams – powering the enrichment of experiences on the frontend within Consumer Experience, enabling innovative strategies for Customer Service and facilitating more relevant ads for Performance Marketing. Finally, as the source for all visual assets (images, maps, view from seat, etc.), Catalog has a pivotal role in changing the look and feel of StubHub's website, serving millions of users a month with engaging visual assets.   </p><p><strong>What You'll Do: </strong></p><ul><li>As the source of product-related data, you will be responsible for ensuring a high bar for data quality and building scalable solutions to provide high quality data and unlock value. </li><li>Help form a view of what a "superb" catalog through working with product and operations teams across the company.</li><li>Drive vision and strategy for the event catalog that powers high-impact consumer experiences like search and discovery, analytics, and recommendations.</li></ul><p><strong>What You've Done: </strong></p><ul><li>5+ years working in product management delivering high quality data products.</li><li>History of data driven decision making.</li><li>Bachelors' degree in STEM, finance, economics, or another relevant field.</li><li>Knowledge of SQL and/or data modeling.</li></ul><div><div><strong>What We Offer:</strong></div><ul><li><strong>Accelerated Growth Environment</strong>: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale.</li><li><strong>Top Tier Compensation Package</strong>: Competitive base, equity, and upside that tracks with your impact.</li><li><strong>Flexible Time Off</strong>: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed.</li><li><strong>Comprehensive Benefits Package</strong>: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options.</li></ul><p></p></div><div><div><p>The anticipated gross base pay range is below for this role. Actual compensation will vary depending on factors such as a candidate's qualifications, skills, experience, and competencies. Base annual salary is one component of StubHub's total compensation and competitive benefits package, which includes equity, 401(k), paid time off, paid parental leave, and comprehensive health benefits. </p></div><div>Salary Range</div><div>$175,000—$270,000 USD</div></div><div><div><strong>About Us</strong></div><div>StubHub is the world's leading marketplace to buy and sell tickets to any live event, anywhere. Through StubHub in North America and viagogo, our international platform, we service customers in 195 countries in 33 languages and 49 available currencies. With more than 300 million tickets available annually on our platform to events around the world -- from sports to music, comedy to dance, festivals to theater -- StubHub offers the safest, most convenient way to buy or sell tickets to the most memorable live experiences. Come join our team for a front-row seat to the action. </div><div></div><div>For California Residents: California Job Applicant Privacy Notice found here</div><div></div><div><strong>We are an equal opportunity employer and value diversity on our team. We do not discriminate on the basis of race, color, religion, sex, national origin, gender, sexual orientation, age, disability, veteran status, or any other legally protected status.</strong></div></div></div></div>

<h3>Job Description</h3><div>Job Description<div><div><p>StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world.</p></div><div><div><p>We're seeking a <strong>Senior Software Engineer – AI Enablement</strong> to help shape how StubHub adopts and scales AI across the company. This role is about <strong>making AI practical, safe, and valuable</strong> by empowering teams to experiment confidently, automate intelligently, and deliver better outcomes faster. </p><p>You'll work across technical and business domains to design tools, frameworks, and patterns that make AI accessible to everyone, not just machine learning experts. </p></div><div><strong>Why We Need You</strong></div><div></div><div>We're looking for experienced AI Engineers to lead the development and implementation of AI-driven capabilities across our organization. This role is critical in introducing cutting-edge AI tooling, defining and scaling best practices, and building custom models that solve real business problems. You'll partner closely with cross-functional teams to identify high-impact use cases, architect and deploy robust AI solutions, and help shape the company's broader AI strategy. The ideal candidate blends deep technical expertise in machine learning, LLMs, and MLOps with the ability to think strategically, influence stakeholders, and deliver scalable, production-ready systems that create measurable value for the business.</div><div><div></div><div><em>Location: Hybrid (3 days in office/2 days remote) – Aliso Viejo, CA or Century City, CA</em></div><div></div></div><div><strong>What You'll Do:</strong></div><div><p><strong><em>AI Tooling & Infrastructure</em></strong></p><ul><li>Design and implement internal AI platforms and tools that make it easy for teams to build with generative and agentic AI. </li><li>Develop reusable components for prompt orchestration, model evaluation, and workflow automation. </li><li>Partner with engineers, data scientists, and product teams to embed AI into StubHub's core products and internal processes. </li><li>Define patterns and frameworks for safe, scalable, and effective AI usage. </li></ul><p><strong><em>Enablement & Best Practices</em></strong></p><ul><li>Lead by example in applying AI to real business challenges, from customer support to pricing insights to developer productivity. </li><li>Navigate ambiguity with curiosity and creativity by shaping direction even when problems aren't fully defined. </li><li>Engage deeply with business teams to understand their requirements, challenges, and workflows: translating those insights into innovative, AI-driven solutions. </li><li>Create playbooks, workshops, and documentation to help teams become confident AI practitioners. </li><li>Establish principles for prompt engineering, data quality, and human-in-the-loop feedback. </li><li>Foster a culture of responsible experimentation and continuous improvement. </li></ul><p><strong><em>Agentic & Generative AI Development</em></strong></p><ul><li>Build and optimize AI agents that enhance workflows, automate tasks, and provide insights. </li><li>Prototype and refine LLM-powered solutions using modern frameworks and APIs. </li><li>Track performance, measure impact, and evolve solutions over time based on real-world usage. </li></ul></div></div><div><p><strong>What You've Done:</strong></p></div><div><ul><li>6+ years of hands-on experience in software engineering, AI development, or technical solution delivery </li><li><strong>Delivered real impact</strong> through AI, automation, or data-driven solutions — whether as an engineer, analyst, or product builder. </li><li><strong>Collaborated across teams</strong> to identify use cases, define success, and deploy working systems that improved outcomes. </li><li><strong>Adapted and learned fast</strong>, experimenting with new AI tools and frameworks to find practical, scalable solutions. </li><li><strong>Balanced hands-on building with strategic thinking</strong> — understanding when to ship, when to experiment, and when to scale. </li><li>Experience integrating or deploying AI systems (e.g., chatbots, assistants, RAG pipelines, or workflow agents). </li><li>Comfortable working with modern software environments (cloud platforms, APIs, version control, CI/CD). </li><li>Excellent communication and storytelling skills — able to translate technical work into clear business value. </li></ul><p><strong>It would be nice if you have: </strong></p><ul><li>Experience enabling organizational AI adoption or building internal AI platforms or tools. </li><li>Familiarity with LLM frameworks (LangChain, OpenAI, Anthropic, HuggingFace, etc.). </li><li>Understanding of data privacy, compliance, and ethical AI practices (GDPR, CCPA). </li><li>Background in change management, developer enablement, or digital transformation. </li><li>Degree in Computer Science, Data Science, or a related technical field (or equivalent hands-on experience). </li></ul><p><strong>What We Offer:</strong></p></div><div><ul><li><strong>Accelerated Growth Environment</strong>: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale.</li><li><strong>Top Tier Compensation Package</strong>: Competitive base, equity, and upside that tracks with your impact.</li><li><strong>Flexible Time Off</strong>: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed.</li><li><strong>Comprehensive Benefits Package</strong>: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options.</li></ul><p></p></div><div><div><p>The anticipated gross base pay range is below for this role. Actual compensation will vary depending on factors such as a candidate's qualifications, skills, experience, and competencies. Base annual salary is one component of StubHub's total compensation and competitive benefits package, which includes equity, 401(k), paid time off, paid parental leave, and comprehensive health benefits. </p></div><div>Salary Range</div><div>$200,000—$250,000 USD</div></div><div><div><strong>About Us</strong></div><div>StubHub is the world's leading marketplace to buy and sell tickets to any live event, anywhere. Through StubHub in North America and viagogo, our international platform, we service customers in 195 countries in 33 languages and 49 available currencies. With more than 300 million tickets available annually on our platform to events around the world -- from sports to music, comedy to dance, festivals to theater -- StubHub offers the safest, most convenient way to buy or sell tickets to the most memorable live experiences. Come join our team for a front-row seat to the action. </div><div></div><div>For California Residents: California Job Applicant Privacy Notice found here</div><div></div><div><strong>We are an equal opportunity employer and value diversity on our team. We do not discriminate on the basis of race, color, religion, sex, national origin, gender, sexual orientation, age, disability, veteran status, or any other legally protected status.</strong></div></div></div></div>

<h3>Job Description</h3><div>Job Description<div><div><p>StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world.</p></div><p>The Data Science team, a part of the broader StubHub Data organization, is looking for an experienced, senior-level <strong>Data Science Manager</strong> to lead a growing team (currently 6, ranging from entry level DS to Staff+) that covers a wide range of data science disciplines.</p><p>StubHub is the largest secondary ticketing marketplace in the world, generating massive amounts of consumer data that are leveraged to tackle many unique and interesting predictive and inference problems across user acquisition, product recommendations, pricing optimization, ticket fulfillment mitigation, and business forecasting. As a <strong>Data Science Manager</strong>, you will need to work closely with business leaders and convert their long-term strategic goals into tangible machine learning projects executed by your team at a day-to-day level. Understanding when to provide oversight from a technical perspective, while being able to grow individuals, will be paramount in your team's long-term success.</p><p>You will also be responsible for the technical and personal growth of your team members, developing talent density through focused mentorship, strategic career development, and execution excellence. There will be a need for planning of team structure and growth as we put more investment into ML, especially understanding the best ways of building and applying generative AI solutions within our product.</p><p>You will be joining at a critical time for the Data Science practice and the company – while the value of this discipline has been established and there's a high performing team in place, we are far from steady state. Key areas of investment from a vision and team planning perspective include establishing new pockets of deep technical expertise (e.g. causal inference, graph ML), advocating for best-in-class ML tooling/platform, and widening the reach of data science company-wide. As a senior leader of this team, you will be in charge of shaping and materializing that vision.</p><p><em>Location: Hybrid (3 days in office/2 days remote) – New York, NY or <em>Century City</em>, CA </em></p><p><strong>What You'll Do</strong></p><ul><li>Technical project scoping and planning</li><li>Partner with cross-functional stakeholders across the business, executives, and data team</li><li>Technical review and architecture oversight</li><li>Recruitment and end-to-end talent growth development: Performance reviews, promotion recommendations, 360 feedback, etc</li><li>Surface infrastructure needs and onboard solutions</li></ul><p><strong>What You've Done</strong></p><ul><li>8 - 10 years of relevant machine learning/data science in a fast-paced, high growth environment</li><li>8 - 10 years of experience managing high performant data science team.</li><li>Strong programming and analytical ability with expertise in SQL and Python (TensorFlow, scipy, scikit-learn, PyTorch, statsmodels)</li><li>Experience with modern workflow orchestration used in machine learning, e.g.,Metaflow, ZenFlow, Airflow<br><br></li><li>Nice to Haves <ul><li>Worked at a consumer tech company</li><li>Experience with GenAI/LLM/Agentic workflows in a production setting</li><li>Hands-on experience with graph based machine learning and recommendation systems</li></ul></li></ul><p><strong>What We Offer</strong></p><ul><li><strong>Accelerated Growth Environment: </strong>An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale.</li><li><strong>Top Tier Compensation Package: </strong>Competitive base, equity, and upside that tracks with your impact<strong>.</strong></li><li><strong>Flexible Time Off: </strong>Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed<strong>.</strong></li><li><strong>Comprehensive Benefits Package: </strong>Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options.</li></ul><p></p><div><div><p>The anticipated gross base pay range is below for this role. Actual compensation will vary depending on factors such as a candidate's qualifications, skills, experience, and competencies. Base annual salary is one component of StubHub's total compensation and competitive benefits package, which includes equity, 401(k), paid time off, paid parental leave, and comprehensive health benefits. </p></div><div>Salary Range</div><div>$300,000—$400,000 USD</div></div><div><div><strong>About Us</strong></div><div>StubHub is the world's leading marketplace to buy and sell tickets to any live event, anywhere. Through StubHub in North America and viagogo, our international platform, we service customers in 195 countries in 33 languages and 49 available currencies. With more than 300 million tickets available annually on our platform to events around the world -- from sports to music, comedy to dance, festivals to theater -- StubHub offers the safest, most convenient way to buy or sell tickets to the most memorable live experiences. Come join our team for a front-row seat to the action. </div><div></div><div>For California Residents: California Job Applicant Privacy Notice found here</div><div></div><div><strong>We are an equal opportunity employer and value diversity on our team. We do not discriminate on the basis of race, color, religion, sex, national origin, gender, sexual orientation, age, disability, veteran status, or any other legally protected status.</strong></div></div></div></div>

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