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Grindr Interview Questions

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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

Find Bigrams

Write a function to create a single dataframe with complete addresses in the format of street, city, state, zip code.

Complete Addresses

Write a function friendship_timeline to generate an output that lists the pairs of friends with their corresponding timestamps of the friendship beginning and then the timestamp of the friendship ending. 

Friendship Timeline

Write a query to select the top 3 departments with at least ten employees and rank them according to the percentage of their employees making over 100K in salary.

Employee Salaries

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

Subscription Overlap

Machine Learning

Encoding Categorical Features

Booking Regression

How do we give each rejected applicant a reason why they got rejected?

Rejection Reason

Job Recommendation

RMS Error

Product Sense & Metrics

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

Decreasing Comments

Promoting Instagram

Threaded Comments

Group Success

WAU vs Open Rates

Analytics

Write a query to create a metric that can validate and rank the queries by their search result precision.

Search Ratings

Write a query to get the distribution of the number of conversations created by each user by day in the year 2020.

Conversations Distribution

We're interested in determining if a data scientist who switches jobs more often ends up getting promoted to a manager role faster than a data scientist that stays at one job for longer. 

Career Jumping

What metrics would you use to determine the value of each marketing channel?

Marketing Channel Metrics

We're interested in how user activity affects user purchasing behavior. 

Activity Conversion

When an interviewer asks a question along the lines of:

<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>

How would you respond?

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

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

Your Strengths and Weaknesses I

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

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

When an interviewer asks you a question along the lines of:

<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>

How should you respond?

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?

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

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

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

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

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

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

Describing a data project and its challenges

Hurdles In Data Projects

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

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

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

P-value to a Layman I

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

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

What are the assumptions of linear regression?

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

Let’s say that you’re training a classification model.

How would you combat overfitting when building tree-based models?

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

Overfit Avoidance

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

Addressing imbalanced data in machine learning through carefully prepared techniques.

Data Preparation for Imbalanced Data

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

Give an example of the tradeoffs between the two.

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

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

Bagging vs. Boosting

Bagging vs Boosting

Talk about a time when you had trouble communicating with stakeholders. How were you able to overcome it?

Strategically resolving misaligned expectations with stakeholders for a successful project outcome

Stakeholder Communication

Write a SQL query to select the 2nd highest salary in the engineering department.

Note: If more than one person shares the highest salary, the query should select the next highest salary.

Example:

Input:

<code>employees</code> table

<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>
<code>departments</code> table

<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>
Output:

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

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

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.

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

Bias vs. Variance Tradeoff

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

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

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

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

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

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

Average Trees

Random Forest Explanation

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

Describing a real-world data cleaning and organization project

Data Cleaning Experiences

Data Pipelines

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

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

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

Testing Price Increase

A/B Testing

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

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

<ul>
<li><code>__init__(self, capacity)</code> - initializes the object and takes in a capacity parameter specifying the maximum capacity of the cache.</li>
<li><code>get_if_exists(self, key) -&gt; Any|None</code> - 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><code>put(self, key, value)</code> - 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>

Example:

<pre tabindex="0" class="chroma"><code>cache = LRUCache(2)
cache.put(&#34;sample&#34;, 55)
cache.get_if_exists(&#34;sample&#34;) # returns 55
cache.get_if_exists(&#34;key&#34;) # returns None
cache.put(&#34;hello&#34;, 10) 
cache.put(&#34;sample&#34;, 9)
cache.put(&#34;world&#34;, 5)
cache.get_if_exists(&#34;hello&#34;) # returns None
</code></pre>

Notes:

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

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

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

LRU Cache 1

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

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.

How would you set up this test?

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.

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

Button AB Test

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?

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?

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.

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.

Note: Can you do it on \(O(n)\) time?

Note: Even though there could be many solutions, only one needs to be returned.

Example 1:

Input:

<pre tabindex="0" class="chroma"><code>array = [1 2 3 4] 
target = 5 
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>def sum_pair_indices(array, target) -&gt; [0 3] or [1 2]
</code></pre>

Example 2:

Input:

<pre tabindex="0" class="chroma"><code>array = [3]
target = 6 
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>Do NOT return [0 0] as you can&#39;t use an index twice.
</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

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.

How would you assess the validity of the result?

Experiment Validity

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 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.

How would we build this model?

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?

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?

Bank Fraud Model

Let’s say you work at Allstate. Allstate is running <code>N</code> online ads right now. The table <code>ads</code> contains all those ads, ranked by popularity via the <code>id</code> column (e.g., the entry with <code>id = 1</code> is the most popular, etc.).

Create a subquery or common table expression named <code>top_ads</code> containing the top 3 ads (by popularity) and return the number of rows that would result from the following operations

<ol>
<li><code>ads INNER JOIN top_ads</code></li>
<li><code>ads LEFT JOIN top_ads</code></li>
<li><code>ads RIGHT JOIN top_ads</code></li>
<li><code>ads CROSS JOIN top_ads</code></li>
</ol>

Note: Please make the <code>join_type</code> column in your output have the values <code>inner_join</code>, <code>left_join</code>, etc. for each of their respective join types

Note: Please return only one query with each number in a different row

Example:

Input:

<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>
Output:

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

<tbody>
<tr>
<td><code>join_type</code></td>
<td>VARCHAR</td>
</tr>

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

Size of Joins

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

When should you use one versus the other?

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

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

Regularization Example

Regularization and Validation

What’s the difference between Lasso and Ridge Regression?

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

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

Lasso vs Ridge

<h1>Binary Tree Validation</h1>

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

A valid BST is defined as follows:

<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>

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.

<h3>Example:</h3>

Input:

<img src="/s3/questions/9664817c-3e12-4a40-9236-8382b13f55a0.png" alt="image"/>Converted Binary Tree.png

Output:

<pre tabindex="0" class="chroma"><code>def is_valid_bst(Node(3)) -&gt; True
</code></pre>

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

Binary Tree Validation

What’s the relationship between PCA and K-means clustering?

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

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

Input of K-means

PCA and K-Means

Given the <code>employees</code> and <code>departments</code> table, write a query to get the top 3 highest employee salaries by department. If the department contains less that 3 employees, the top 2 or the top 1 highest salaries should be listed (assume that each department has at least 1 employee). 

Note: The output should include the full name of the employee in one column, the department name, and the salary. The output should be sorted by department name in ascending order and salary in descending order. 

Example:

Input:

<code>employees</code> table

<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>
<code>departments</code> table

<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>
Output:

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

<tbody>
<tr>
<td><code>employee_nam</code>e</td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>department_name</code></td>
<td>VARCHAR</td>
</tr>

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

Get the top 3 highest employee salaries by department

Top Three Salaries

You’re given a string that may contain the characters <code>{</code>, <code>}</code>, <code>[</code>, <code>]</code>, <code>(</code>, and <code>)</code>.

Task: Verify that the string is balanced. A balanced string is one where every opening character, <code>{</code>, <code>[</code>, or <code>(</code>, has a corresponding closing character, <code>}</code>, <code>]</code>, or <code>)</code>.

Write a function called <code>is_balanced(string: str) -&gt; bool</code> which verifies the balance of a string.

Example:

<pre tabindex="0" class="chroma"><code>is_balanced(&#39;(())[]{}&#39;) -&gt; True
</code></pre>

<pre tabindex="0" class="chroma"><code>is_balanced(&#39;{([(){}])()}&#39;) -&gt; True
</code></pre>

<pre tabindex="0" class="chroma"><code>is_balanced(&#39;{}[]())&#39;) -&gt; False
</code></pre>

<hr/>

Write a function that tests whether a string of brackets is balanced.

The Brackets Problem

In the context of hypothesis testing, what are type I errors (type one errors) and type II errors (type two errors)? What is the difference between the two?

Bonus: Describe the probability of making each type of error mathematically.

What is the difference between type I and type II errors?

Type I and II Errors

How would you tackle multicollinearity in multiple linear regression?

Multicollinearity in Regression

Challenge

Grindr Salaries by Position

<h5>Senior Staff Data Scientist </h5>This is a hybrid role based in our Bay Area offices and will require you to be in office Tuesdays and Thursdays. What's so interesting about this role? Grindr is the largest LGBTQ+ Social App in the world, used by over 14M+ monthly users in nearly every country in the world. We are a fundamental part of the global LGBTQ+ community and are a pillar in gay culture. As a Senior Staff Data Scientist at Grindr, you will lead cross-functional collaboration with product managers, product designers, and engineers to devise insightful metrics that guide development, shape and oversee novel experiments, present a data-driven viewpoint to guide key decisions, and identify and drive new strategic avenues for growth through deep dive analysis. You will have the opportunity to work on models that are deployed to production and improve quality of life for our millions of users. You will also be an informal ambassador for the Data Science team to the rest of the organization, educating a diverse group on the many subtle aspects of utilizing data well. You will be a member of the data organization at Grindr, which integrates data scientists, data engineers, and ML/AI engineers into a single cohesive and collaborative team. This is a rare opportunity to learn, teach, and have an outsized impact alongside some of the top minds in the field. What's the job? <ol> <li>Extract actionable insights from broad, open-ended questions </li><li>Set strategy for designing and evaluating experiments to measure the impact of product changes </li><li>Influence and communicate results to executives and cross-functional stakeholders to inform product and company decisions </li><li>Analyze data from across the product to uncover the root causes of metric movements </li><li>Communicate results to cross-functional stakeholders to inform product decisions </li><li>Architect and guide development of tools to scale and automate analyses, improving productivity across the company </li><li>Provide mentorship and guidance to team members + identify and recommend best practices </li><li>Apply an engineering mindset: minimize complexity while maximizing utility & maintainability </li><li>Shape the future state of our data products, devising ML solutions to improve recommendations, detect spam, and better serve our users </li></ol> What we'll love about you <ul> <li>BS or higher in Computer Science, Statistics, Mathematics, Physics, a related quantitative field, or equivalent experience </li><li>10+ years of industry data science experience, with a track record of influencing senior stakeholders and company-level outcomes </li><li>Experience effectively communicating & collaborating with non-technical stakeholders </li><li>A deep understanding of the "why" behind your work, not just the how </li><li>Strong Python skills in data analysis using pandas and Jupyter Notebook </li><li>Experience writing and optimizing complex SQL queries on large data sets </li><li>A strong background in inferential statistics, especially in an experimentation setting (hypothesis testing, power analysis, experimental design) </li><li>Experience with different data analytics and BI tools such as Looker, Tableau, PowerBI, or Snowflake </li><li>Experience in big data technologies like Spark </li></ul> We'll Really Swoon If You Have <ul> <li>A machine learning background with an understanding of when ML is the right tool and the subtle science of creating models that function well in the real world would be a nice to have </li><li>You have excellent communication, presentation, and documentation skills with the ability to define and communicate the "big picture" to key stakeholders at various levels and technical understanding </li><li>Experience with Statsig would be nice-to-have </li></ul> What you'll love about us <ul> <li>Mission and Impact: Grindr is building the global gayborhood in your pocket. Your role will impact the lives of millions of LGBTQ+ people around the world. Through our success, we are making a world where the lives of our community are free, equal, and just. </li><li>Family Insurance: Insurance premium coverage for health, dental, and vision for you and partial coverage for your dependents. </li><li>Retirement Savings: Generous 401K plan with 6% match and immediate vest in the U.S. </li><li>Compensation: Industry-competitive compensation and eligibility for company bonus and equity programs. </li><li>Queer-Inclusive Benefits: Industry-leading gender-affirming offerings with up to 90% cost coverage, access to Included Health, monthly stipends for HRT, and more. </li><li>Additional Benefits: Flexible vacation policy, monthly stipends for cell phone, internet, wellness, food, and commuting, breakfast/lunch provided onsite, and yearly travel & leisure stipend. </li></ul> About Grindr Grindr is building the global gayborhood in your pocket. With more than 14.5 million monthly active users, Grindr has become a fundamental part of the LGBTQ+ community and is charting a path to make the world more free, equal, and just. Since 2015, Grindr for Equality has advanced safety, health, and human rights for millions of Grindr users and the global LGBTQ+ community in partnership with more than 100 community organizations in every region of the world. Our next evolution is underway as a public company that continues to grow and build meaningful experiences for our users. From social issues to product innovations, we're setting audacious goals for our community and the business, and leveraging the latest tech stacks and a culture of engineering excellence to make it happen. At the heart of our work in this new chapter is a shared set of operating principles centered around cultivating curiosity, thinking big, setting and expediting our ambitious goals, and growing through iteration; all while keeping our users #1. Grindr is headquartered in West Hollywood, California, with offices in the Bay Area, Chicago, and New York. With a track record of strong financial performance and plans for continued headcount growth, we're building a team of talented, passionate, and open-minded people who want to disrupt the dating app space, innovate products, and advance LGBTQ+ culture. Come be a part of this exciting journey with us. Grindr is an equal-opportunity employer.

Staff Product Manager, CoreOur Core product is the foundation of that Gayborhood the systems, surfaces, and experiences that power connection at scale. As a Staff Product Manager, Core, you will define and evolve the heart of the Grindr experience, shaping the infrastructure and user journeys that millions rely on every day. This role sits at the center of the product organization, operating across teams to drive strategy, execution, and long-term platform evolution.You'll join at a pivotal moment as we modernize our core systems, elevate product quality, and unlock the next phase of growth.This is a hybrid role based in our SF office and will require you to be in person Tuesdays and Thursdays.Role RequirementsDefine and drive multi-quarter product strategy for critical Core surfaces and systems that power engagement, identity, communication, and monetization.Own complex, high-impact problem spaces that span multiple teams and require deep cross-functional alignment.Partner closely with Engineering, Design, Data, Ecosystem Health, Marketing, and Legal to deliver scalable, reliable, and intuitive user experiences.Lead product discovery and execution from concept through launch and iteration, balancing immediate user needs with long-term architectural investments.Use data, experimentation, and qualitative research to inform decisions, measure impact, and continuously improve the Core experience.Drive clarity in ambiguous environments aligning stakeholders around priorities, tradeoffs, and measurable outcomes.Influence technical direction in partnership with Engineering leadership to ensure our platform scales with user growth and product ambition.Mentor and elevate other product managers through thought partnership, feedback, and modeling high standards of craft.You May Thrive in this Role if You:8+ years of product management experience, with significant ownership of complex, consumer-facing mobile or web platforms at scale.Proven ability to define strategy and deliver impact across multi-team initiatives.Strong systems thinker comfortable working on platform-level problems, technical constraints, and long-term scalability.An exceptional eye for product craft you are deeply obsessed with user experience and design, and care about making interaction, visual design, performance, and technical execution feel seamless and authentic. You push for harmony between product thinking and design excellence, and raise the bar for quality across teams.Track record of using experimentation and data to drive measurable improvements in engagement, retention, or monetization.Exceptional communication skills with the ability to influence senior stakeholders and drive alignment across disciplines.Comfort operating with autonomy in high-ambiguity, high-visibility environments.Passion for building products that meaningfully serve the LGBTQ+ community.Benefits and PerksMission and Impact: Grindr is building the global gayborhood in your pocket. Your role will impact the lives of millions of LGBTQ+ people around the world. Through our success, we are making a world where the lives of our community are free, equal, and just.Family Insurance: Insurance premium coverage for health, dental, and vision for you and partial coverage for your dependents.Retirement Savings: Generous 401K plan with 6% match and immediate vest in the U.S.Compensation: Industry-competitive compensation and eligibility for company bonus and equity programs.Queer-Inclusive Benefits: Industry-leading gender-affirming offerings with up to 90% cost coverage, access to Included Health, monthly stipends for HRT, and more.Additional Benefits: Flexible vacation policy, monthly stipends for cell phone, internet, wellness, food, and commuting, breakfast/lunch provided onsite, and yearly travel & leisure stipend.Grindr is building the global gayborhood in your pocket. With more than 14.5 million monthly active users, Grindr has become a fundamental part of the LGBTQ+ community and is charting a path to make the world more free, equal, and just. In 2015 we introduced Grindr for Equality, our in-house non-profit which has advanced safety, health, and human rights for millions of Grindr users and the global LGBTQ+ community in partnership with more than 100 community organizations in every region of the world.Our next evolution is underway as a public company that continues to grow and build meaningful experiences for our users. From social issues to product innovations, we're setting audacious goals for our community and the business, and leveraging the latest tech stacks and a culture of engineering excellence to make it happen. At the heart of our work in this new chapter is a shared set of operating principles centered around cultivating curiosity, thinking big, exploring the depths of AI, setting and expediting our ambitious goals, and growing through iteration; all while keeping our users #1.Grindr is headquartered in West Hollywood, California, with offices in the Bay Area, Chicago, and New York. With a track record of strong financial performance and plans for continued headcount growth, we aim to build a workforce of talented, passionate, and open-minded individuals from different backgrounds, with different abilities, identities, and mindsets. Come be a part of this exciting journey to disrupt the consumer technology space, innovate products, and advance LGBTQ+ culture!Grindr is an equal-opportunity employer.

<div><h2>Staff Product Manager, Core</h2>Our Core product is the foundation of that Gayborhood the systems, surfaces, and experiences that power connection at scale. As a Staff Product Manager, Core, you will define and evolve the heart of the Grindr experience, shaping the infrastructure and user journeys that millions rely on every day. This role sits at the center of the product organization, operating across teams to drive strategy, execution, and long-term platform evolution.You'll join at a pivotal moment as we modernize our core systems, elevate product quality, and unlock the next phase of growth.This is a hybrid role based in our SF office and will require you to be in person Tuesdays and Thursdays.<h3>Role Requirements</h3><ul><li>Define and drive multi-quarter product strategy for critical Core surfaces and systems that power engagement, identity, communication, and monetization.</li><li>Own complex, high-impact problem spaces that span multiple teams and require deep cross-functional alignment.</li><li>Partner closely with Engineering, Design, Data, Ecosystem Health, Marketing, and Legal to deliver scalable, reliable, and intuitive user experiences.</li><li>Lead product discovery and execution from concept through launch and iteration, balancing immediate user needs with long-term architectural investments.</li><li>Use data, experimentation, and qualitative research to inform decisions, measure impact, and continuously improve the Core experience.</li><li>Drive clarity in ambiguous environments aligning stakeholders around priorities, tradeoffs, and measurable outcomes.</li><li>Influence technical direction in partnership with Engineering leadership to ensure our platform scales with user growth and product ambition.</li><li>Mentor and elevate other product managers through thought partnership, feedback, and modeling high standards of craft.</li></ul><h3>You May Thrive in this Role if You:</h3><ul><li>8+ years of product management experience, with significant ownership of complex, consumer-facing mobile or web platforms at scale.</li><li>Proven ability to define strategy and deliver impact across multi-team initiatives.</li><li>Strong systems thinker comfortable working on platform-level problems, technical constraints, and long-term scalability.</li><li>An exceptional eye for product craft you are deeply obsessed with user experience and design, and care about making interaction, visual design, performance, and technical execution feel seamless and authentic. You push for harmony between product thinking and design excellence, and raise the bar for quality across teams.</li><li>Track record of using experimentation and data to drive measurable improvements in engagement, retention, or monetization.</li><li>Exceptional communication skills with the ability to influence senior stakeholders and drive alignment across disciplines.</li><li>Comfort operating with autonomy in high-ambiguity, high-visibility environments.</li><li>Passion for building products that meaningfully serve the LGBTQ+ community.</li></ul><h3>Benefits and Perks</h3><ul><li>Mission and Impact: Grindr is building the global gayborhood in your pocket. Your role will impact the lives of millions of LGBTQ+ people around the world. Through our success, we are making a world where the lives of our community are free, equal, and just.</li><li>Family Insurance: Insurance premium coverage for health, dental, and vision for you and partial coverage for your dependents.</li><li>Retirement Savings: Generous 401K plan with 6% match and immediate vest in the U.S.</li><li>Compensation: Industry-competitive compensation and eligibility for company bonus and equity programs.</li><li>Queer-Inclusive Benefits: Industry-leading gender-affirming offerings with up to 90% cost coverage, access to Included Health, monthly stipends for HRT, and more.</li><li>Additional Benefits: Flexible vacation policy, monthly stipends for cell phone, internet, wellness, food, and commuting, breakfast/lunch provided onsite, and yearly travel & leisure stipend.</li></ul>Grindr is building the global gayborhood in your pocket. With more than 14.5 million monthly active users, Grindr has become a fundamental part of the LGBTQ+ community and is charting a path to make the world more free, equal, and just. In 2015 we introduced Grindr for Equality, our in-house non-profit which has advanced safety, health, and human rights for millions of Grindr users and the global LGBTQ+ community in partnership with more than 100 community organizations in every region of the world.Our next evolution is underway as a public company that continues to grow and build meaningful experiences for our users. From social issues to product innovations, we're setting audacious goals for our community and the business, and leveraging the latest tech stacks and a culture of engineering excellence to make it happen. At the heart of our work in this new chapter is a shared set of operating principles centered around cultivating curiosity, thinking big, exploring the depths of AI, setting and expediting our ambitious goals, and growing through iteration; all while keeping our users #1.Grindr is headquartered in West Hollywood, California, with offices in the Bay Area, Chicago, and New York. With a track record of strong financial performance and plans for continued headcount growth, we aim to build a workforce of talented, passionate, and open-minded individuals from different backgrounds, with different abilities, identities, and mindsets. Come be a part of this exciting journey to disrupt the consumer technology space, innovate products, and advance LGBTQ+ culture!Grindr is an equal-opportunity employer.</div>

<div><h2>Cloud Engineering Manager</h2>This is a hybrid role based in our Chicago or Palo Alto office and will require you to be in person Tuesdays and Thursdays.<h3>About the Team</h3>The Cloud Engineering team is responsible for building and operating the foundational infrastructure that powers Grindr's global platform. This team owns core cloud services and tooling across AWS and Kubernetes, enabling product and backend teams to ship safely, reliably, and at scale. Reporting to the Head of Cloud Engineering, this role will manage a team of 46 individual contributors and play a key role in improving reliability, security, cost efficiency, and developer experience across the organization. The impact of this role is highly visible, directly influencing uptime, incident response, and Grindr's ability to scale new features globally.<h3>About the Job</h3>Lead, coach, and grow a team of 45 cloud engineers responsible for core infrastructure and platform services.Own the execution and delivery of cloud initiatives that improve reliability, scalability, security, and cost efficiency.Partner closely with product, backend, mobile, SRE, and security teams to ensure infrastructure enables, rather than blocks, product delivery.Contribute to technical direction and architectural decisions across AWS, Kubernetes, and supporting cloud services.<h3>Role Requirements</h3>Experience managing and developing engineers, including performance management, feedback, and career growth.Strong hands-on background with cloud infrastructure, preferably in AWS, including managed services and networking concepts.Experience operating production systems at scale using Kubernetes (EKS or equivalent) and Infrastructure as Code (e.g., Terraform).Proven ability to lead cross-functional initiatives and communicate clearly with both technical and non-technical stakeholders.Experience balancing reliability, cost, and velocity in a cloud environment.<h3>Nice to Have</h3>Experience supporting high-traffic, consumer-facing applications.Familiarity with operation and performance management of databases and data stores such as PostgreSQL, DynamoDB, and Redis/ElastiCache.Exposure to modern CI/CD and infrastructure workflows (e.g., Atlantis, GitOps-style workflows).<h3>You May Thrive in this Role if You:</h3>Enjoy leading teams while staying close enough to the technology to guide strong technical decisions.Are motivated by improving developer experience and building platforms that help others move faster.Are comfortable operating in a fast-paced environment where priorities evolve and tradeoffs are required.Take ownership, value accountability, and believe great infrastructure is a force multiplier for product teams.<h3>Benefits and Perks</h3>Mission and Impact: Grindr is building the global gayborhood in your pocket. Your role will impact the lives of millions of LGBTQ+ people around the world. Through our success, we are making a world where the lives of our community are free, equal, and just.Family Insurance: Insurance premium coverage for health, dental, and vision for you and partial coverage for your dependents.Retirement Savings: Generous 401K plan with 6% match and immediate vest in the U.S.Compensation: Industry-competitive compensation and eligibility for company bonus and equity programs.Queer-Inclusive Benefits: Industry-leading gender-affirming offerings with up to 90% cost coverage, access to Included Health, monthly stipends for HRT, and more.Additional Benefits: Flexible vacation policy, monthly stipends for cell phone, internet, wellness, food, and commuting, breakfast/lunch provided onsite, and yearly travel & leisure stipend.<h3>About Grindr</h3>Grindr is building the global gayborhood in your pocket. With more than 14.5 million monthly active users, Grindr has become a fundamental part of the LGBTQ+ community and is charting a path to make the world more free, equal, and just. In 2015 we introduced Grindr for Equality, our in-house non-profit which has advanced safety, health, and human rights for millions of Grindr users and the global LGBTQ+ community in partnership with more than 100 community organizations in every region of the world.Our next evolution is underway as a public company that continues to grow and build meaningful experiences for our users. From social issues to product innovations, we're setting audacious goals for our community and the business, and leveraging the latest tech stacks and a culture of engineering excellence to make it happen. At the heart of our work in this new chapter is a shared set of operating principles centered around cultivating curiosity, thinking big, exploring the depths of AI, setting and expediting our ambitious goals, and growing through iteration; all while keeping our users #1.Grindr is headquartered in West Hollywood, California, with offices in the Bay Area, Chicago, and New York. With a track record of strong financial performance and plans for continued headcount growth, we aim to build a workforce of talented, passionate, and open-minded individuals from different backgrounds, with different abilities, identities, and mindsets. Come be a part of this exciting journey to disrupt the consumer technology space, innovate products, and advance LGBTQ+ culture!Grindr is an equal-opportunity employer.To learn more about how we handle the personal data of applicants, visit our Employee and Candidate Privacy Policy.</div>

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