The Airbnb Business Intelligence interview guide, interview questions, salary data, and interview experiences.

Airbnb Business Intelligence Interview Guide

<p>Getting ready for an Business Intelligence interview at Airbnb? The Airbnb Business Intelligence interview span across 10 to 12 different question topics. In preparing for the interview:</p>
<ul>
<li>Know what skills are necessary for Airbnb Business Intelligence roles.</li>
<li>Gain insights into the Business Intelligence interview process at Airbnb.</li>
<li>Practice real Airbnb Business Intelligence interview questions.</li>
</ul>
<p>Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Airbnb Business Intelligence interview.</p>


Getting ready for an Business Intelligence interview at Airbnb? The Airbnb Business Intelligence interview span across 10 to 12 different question topics. In preparing for the interview:

- Know what skills are necessary for Airbnb Business Intelligence roles.
- Gain insights into the Business Intelligence interview process at Airbnb.
- Practice real Airbnb Business Intelligence interview questions.

Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Airbnb Business Intelligence interview.
        

Overview

<p>We've gathered this data from parsing thousands of interview experiences sourced from members.</p>

We've gathered this data from parsing thousands of interview experiences sourced from members.

Airbnb Business Intelligence Interview Process

<p>Let’s say we have a table representing vacation bookings.
Write a query that returns columns representing the total number of bookings in the last 90 days, last 365 days, and overall.</p>

<p><em>Note: You may assume that today is the 1st of January 2022.</em></p>

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

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

<p><code>bookings</code> table</p>

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

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

<tr>
<td><code>guest_id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>check_in_date</code></td>
<td>DATE</td>
</tr>

<tr>
<td><code>check_out_date</code></td>
<td>DATE</td>
</tr>
</tbody>
</table>
<p><strong>Output:</strong></p>

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

<tbody>
<tr>
<td><code>num_bookings_last90d</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>num_bookings_last365d</code></td>
<td>INTEGER</td>
</tr>

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


Listing Bookings Aggregation

<p>Given a table of transactions and a table of users, write a query to determine if users tend to order more to their primary address versus other addresses.</p>

<p><em>Note: Return the percentage of transactions ordered to their home address as <code>home_address_percent</code>.</em></p>

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

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

<p><code>transactions</code> table:</p>

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

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

<tr>
<td><code>user_id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>created_at</code></td>
<td>DATETIME</td>
</tr>

<tr>
<td><code>shipping_address</code></td>
<td>VARCHAR</td>
</tr>
</tbody>
</table>
<p><code>users</code> table:</p>

<table>
<thead>
<tr>
<th>Columns</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>

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

<table>
<thead>
<tr>
<th><code>home_address_percent</code></th>
<th>0.76</th>
</tr>
</thead>

<tbody>
</tbody>
</table>


Order Addresses

<p>Suppose your company needs to cut costs due to an economic downturn. During a coffee break, you hear a rumor that a lot of money goes to employees who don’t do their work, and you decide to find out if the rumor is true.</p>

<p>Given two tables: <code>employees</code> and <code>projects</code>, find the sum of the salaries of all the employees who didn’t complete any of their projects.</p>

<p>Clarification:</p>

<p>We will consider a project unfinished if it has no end date (its <code>End_dt</code> is <code>NULL</code>).</p>

<p>Given this, we’ll say an employee didn’t finish any of their projects when:</p>

<ul>
<li>They were assigned at least one project.</li>
<li>None of their projects have an <code>End_dt</code>.</li>
</ul>

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

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

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

<table>
<thead>
<tr>
<th>id</th>
<th>salary</th>
</tr>
</thead>

<tbody>
<tr>
<td>INTEGER</td>
<td>FLOAT</td>
</tr>
</tbody>
</table>
<p><code>projects</code> table</p>

<table>
<thead>
<tr>
<th>employee_id</th>
<th>project_id</th>
<th>Start_dt</th>
<th>End_dt</th>
</tr>
</thead>

<tbody>
<tr>
<td>INTEGER</td>
<td>INTEGER</td>
<td>DATETIME</td>
<td>DATETIME</td>
</tr>
</tbody>
</table>
<p><strong>Output:</strong></p>

<table>
<thead>
<tr>
<th>total_slack_salary</th>
</tr>
</thead>

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


Find the total salary of slacking employees.

Slacking Employees Salaries

Airbnb Business Intelligence Interview Questions

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.
The Community You Will Join:
The CRM Engineering team builds world-class tools that drive growth and foster meaningful relationships between Airbnb and its community, including Hosts, Guests, Law Enforcement, Government Regulators, Local Community Leaders, and more. This team tackles some of the most challenging and unique problems faced by our business. Here are a few examples:
Growth Platform: Designed to increase supply and retain existing hosts.
Policy Platform: Enables Airbnb to engage with regulatory bodies across the globe regarding short-term rental regulations. This platform tracks regulations that impact the Airbnb business and provides intelligence to address unique business challenges.
Community Platform: Establishes a social platform to drive community enablement, collaboration, and success.
Agent Tools: Empowers agents to understand and resolve issues that customers are unable to address on their own.
Aircover Claims Platform: Facilitates the processing of claims for Aircover insurance products, offering protection to both hosts and guests.
The Difference You Will Make:
Our team is building an AI driven growth platform to serve as a true growth engine for Airbnb's supply expansion. This platform will leverage AI-driven intelligence to provide sales insights, meet diverse supply needs, help current hosts achieve greater success on the Airbnb platform, and build lead funnels to attract more high-quality hosts to Airbnb.
There is immense potential for AI-driven initiatives to revolutionize the supply funnel at Airbnb. This role presents an exciting opportunity to create a unique and impactful platform that addresses complex business challenges.
In this position, you will closely collaborate with and influence stakeholders across technical, business, product, and design teams to identify, scope, and deliver critical initiatives. As you lead efforts across these stakeholders and work with a distributed team of engineers, you will also actively contribute to prototyping, evaluating, and implementing solutions. This is your chance to make a lasting impact on Airbnb's growth trajectory and technology landscape!
A Typical Day:
Design the future state of our technical systems by combining a strategic understanding of our highest level product goals with a deep understanding of our existing systems to inform the right technical and product tradeoffs for both short and long term
Lead engineers—both inside and outside your immediate team—in building out these technical solutions
Participate in the development of product and UX requirements by engaging early and often with designers, product managers and other stakeholders to help steer teams on the most efficient path towards overall goals
Nurture a culture of technical quality from design, through code review, to production operations
Mentor other engineers in developing their technical and collaboration skills
Identify and propose solutions to problems coming in the way of technical and product engineering excellence
Collaborate with internal teams across the tech community, Hosting, Guest and Mobile and data engineering.
Your Expertise:
9+ years of relevant software development industry experience in a fast-paced tech environment
Strong proficiency in at least one major backend programming language (e.g., Java, Kotlin, Scala, Python) and experience with modern frontend frameworks (e.g., React, Angular, Vue.js)
Proven track record of delivering end-to-end products in a collaborative environment, from ideation and planning to implementation and launch
Experience with architectural patterns of large-scale web applications, including well-designed APIs, high-volume data pipelines, and efficient algorithms
Demonstrated ability to make data-driven decisions, articulate technical trade-offs, and communicate effectively with cross-functional partners
Passion for creating intuitive user experiences and a keen interest in data systems and analytics
Good judgment in making tradeoffs to balance short-term business needs with long-term technical quality
Strong understanding of how deep backend systems are expressed in the UX shown to customers
End-to-end mentality that transcends team boundaries and helps find globally optimal solutions
Excellent communication skills and the ability to work well within a team and with teams across the engineering organization
Passionate about efficiency, availability, system quality and user experience
Passionate about building AI-driven applications that deliver innovative and impactful solutions
Our Commitment To Inclusion & Belonging:
Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.
We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com . Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process.
We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.
How We'll Take Care of You:
Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

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Senior Staff Machine Learning Engineer, Communication & Connectivity  Get AI-powered advice on this job and more exclusive features.
Pay found in job post  Retrieved from the description.
Base pay range  $244,000.00/yr - $305,000.00/yr
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.

The Community You Will Join

We connect Airbnb’s community with the right information, in the right place, at the right time. We tailor Messaging & Notifications so hosts on Airbnb can streamline their operations, and travelers get just the information they need to enjoy their stay worry-free.

Additionally, we are building new connections within our community to help enrich the experience of hosting & traveling on Airbnb: easing the process of hosting, and adding meaning to our guest’s trips.

The Difference You Will Make

We believe our current customer experiences in these domains are only scratching the surface of the innovations that are possible, and that science is at the heart of delivering a step-function change for our Guest and and Host on Airbnb.

You will architect and implement advanced machine learning solutions—including recommendation engines, ranking systems, intent detection models, and the integration of intelligence into existing platforms. Additionally, you’ll lead efforts to harness the power of Large Language Models (LLMs) to create transformative AI experiences.

Many of the initiatives you’ll tackle are in their early conceptual stages. You will have the opportunity to shape these ideas from inception to production, turning visionary concepts into impactful realities. You will be leading ML, Data and Product engineers to drive ML applications.

A core focus of your work will be spearheading Machine Learning applications in Messaging and Notification—a high-impact area with significant potential to enhance guest and host experiences at Airbnb.

A Typical Day

Envision, champion, and support the development of novel ML systems, product integrations, and performance optimizations to solve real-world problems
Lead, mentor, challenge and grow enthusiastic, collaborative software engineers and applied scientists across the organization
Raise the AI/ML skillset within the organization. A passion for teaching/mentoring is important.

Your Expertise

12+ years of software engineering experience, with 2+ years of experience in a Principal or Senior Staff Engineer role having ownership responsibility over large-scale software systems
Background in the design and development of scalable AI and ML systems and services, and a deep passion for building ML-powered products
You’re an inspiring colleague, a coach and mentor with experience owning and fostering engineering maturity in multiple organizations.
You’re a builder, and implementer, who seeks out high impact work, and who is: proactive, curious, and an excellent communicator

Your Location:

This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.

Our Commitment To Inclusion & Belonging

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process.

We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.

How We'll Take Care Of You

Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

Pay Range

$244,000—$305,000 USD
Seniority level    Seniority level Mid-Senior level
Employment type    Employment type Full-time
Job function    Job function Research and Engineering
Industries Software Development
Referrals increase your chances of interviewing at Airbnb by 2x
Get notified about new Machine Learning Engineer jobs in  San Francisco, CA .
Software Engineer - AI Training (Freelance, Remote)  Software Engineer, Python - AI Training (Freelance, Remote)  Software Engineer Internship (4 openings)  San Francisco, CA $90,000 - $110,000 3 months ago
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Airbnb was born in 2007 when two Hosts welcomed three guests to their San Francisco home, and has since grown to over 4 million Hosts who have welcomed more than 1 billion guest arrivals in more than 100, 000 cities and towns located in 220+ countries and regions across the globe. Every day, Hosts offer unique stays and one-of-a-kind activities that make it possible for guests to experience the world in a more authentic, connected way.

Airbnb was born with a creative spirit, and it’s one of the most defining parts of our culture. We use our curiosity and imagination to come up with unconventional solutions. These are the ideas at the core of Airbnb:

Our community is based on connection and belonging.
Our creativity allows us to imagine new possibilities for people.
Our responsibility is to all of our stakeholders.
It takes a unified team committed to our core values to embody these ideas, and our fast-moving team is committed to leading as a 21st century company.

About The Airbnb Fraud & Safety Team

Our hosts are opening their homes or providing services & experiences to guests from around the world. We’re creating new relationships & placing people in vulnerable situations. Therefore trust is the fundamental currency of Airbnb. We are the Fraud & Safety team, composed of engineers, data scientists, designers, product managers, and operations, responsible for earning this trust by building for safety at each moment of the guest and host journey. We build cutting edge machine learning models to detect risk, defenses to deter risky actors, and operations tools that enable investigators worldwide.

About The Role

As a Product Manager in the Fraud & Safety team, you will identify customer pain points, business opportunities, and define/deliver the products that help us create a safe and trusted community around the world. Within the Fraud & Safety team, you will specifically be focused on Credential Verifications for Services and Experiences: Confirming our hosts’ employment history, education, awards, and industry recognition.

Responsibilities

Leading a cross-functional working group of engineers, data scientists, designers, operations experts, and policy experts to ensure alignment, execution, and launches
Maintaining product backlog and the product roadmap. Own prioritization process of product solutions based on business value and customer impact
Defining goals and success with clearly measurable objectives and key results.
Building alignment across product teams (inside and outside of Trust & Safety), and Leadership/Executive teams.
Anticipating bottlenecks, making tradeoffs and balancing the business needs, customer needs, versus technical or operational constraints.
Presenting product roadmap and status to the business and Airbnb leadership on an ongoing basis. Communicate concisely and influence outcomes.
Evaluating new product opportunities and bring forward proposals (buy, build, partner solutions) for new capabilities with data and users at the forefront
Developing short term plans aligned with long term goals to iteratively build platform capabilities to defend against fraud, abuse, safety, unwanted bad activities, etc.

Qualifications

5+ years product management experience
Prior product, operation, or engineering experience in security, trust, safety, risk or fraud
Prior experience working with AI/LLM products
Prior experience working with third-party vendors
Excellent written and verbal communication skills
Experienced in design and hypothesis driven product development
Entrepreneurial drive to achieve stretch goals in an innovative fast-paced environment
Experience leading teams through ambiguity, and high stakes trade off decisions

Education:

Bachelors Degree required

Belonging & Accommodations:

Airbnb is committed to working with the best and brightest people from the broadest talent pool possible. We believe a diversity of ideas fosters innovation and engagement, and allows us to attract the best people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. If you need assistance, or reasonable accommodation during the application and recruiting process, please connect with your talent sourcing partner.

Pay Rate Range: $80-$92/hr

Benefits: Medical, Dental, Vision, 401K

Seniority level    Seniority level Mid-Senior level
Employment type    Employment type Contract
Job function    Job function Product Management and Marketing
Industries Software Development
Referrals increase your chances of interviewing at Airbnb by 2x
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Join to apply for the  Product manager (contract)  role at  Airbnb
Join to apply for the  Product manager (contract)  role at  Airbnb
Get AI-powered advice on this job and more exclusive features.
Airbnb was born in 2007 when two Hosts welcomed three guests to their San Francisco home, and has since grown to over 4 million Hosts who have welcomed more than 1 billion guest arrivals in more than 100, 000 cities and towns located in 220+ countries and regions across the globe. Every day, Hosts offer unique stays and one-of-a-kind activities that make it possible for guests to experience the world in a more authentic, connected way.

Airbnb was born with a creative spirit, and it’s one of the most defining parts of our culture. We use our curiosity and imagination to come up with unconventional solutions. These are the ideas at the core of Airbnb:

Our community is based on connection and belonging.
Our creativity allows us to imagine new possibilities for people.
Our responsibility is to all of our stakeholders.
It takes a unified team committed to our core values to embody these ideas, and our fast-moving team is committed to leading as a 21st century company.

About The Airbnb Fraud & Safety Team

Our hosts are opening their homes or providing services & experiences to guests from around the world. We’re creating new relationships & placing people in vulnerable situations. Therefore trust is the fundamental currency of Airbnb. We are the Fraud & Safety team, composed of engineers, data scientists, designers, product managers, and operations, responsible for earning this trust by building for safety at each moment of the guest and host journey. We build cutting edge machine learning models to detect risk, defenses to deter risky actors, and operations tools that enable investigators worldwide.

About The Role

As a Product Manager in the Fraud & Safety team, you will identify customer pain points, business opportunities, and define/deliver the products that help us create a safe and trusted community around the world. Within the Fraud & Safety team, you will specifically be focused on Credential Verifications for Services and Experiences: Confirming our hosts’ employment history, education, awards, and industry recognition.

Responsibilities

Leading a cross-functional working group of engineers, data scientists, designers, operations experts, and policy experts to ensure alignment, execution, and launches
Maintaining product backlog and the product roadmap. Own prioritization process of product solutions based on business value and customer impact
Defining goals and success with clearly measurable objectives and key results.
Building alignment across product teams (inside and outside of Trust & Safety), and Leadership/Executive teams.
Anticipating bottlenecks, making tradeoffs and balancing the business needs, customer needs, versus technical or operational constraints.
Presenting product roadmap and status to the business and Airbnb leadership on an ongoing basis. Communicate concisely and influence outcomes.
Evaluating new product opportunities and bring forward proposals (buy, build, partner solutions) for new capabilities with data and users at the forefront
Developing short term plans aligned with long term goals to iteratively build platform capabilities to defend against fraud, abuse, safety, unwanted bad activities, etc.

Qualifications

5+ years product management experience
Prior product, operation, or engineering experience in security, trust, safety, risk or fraud
Prior experience working with AI/LLM products
Prior experience working with third-party vendors
Excellent written and verbal communication skills
Experienced in design and hypothesis driven product development
Entrepreneurial drive to achieve stretch goals in an innovative fast-paced environment
Experience leading teams through ambiguity, and high stakes trade off decisions

Education:

Bachelors Degree required

Belonging & Accommodations:

Airbnb is committed to working with the best and brightest people from the broadest talent pool possible. We believe a diversity of ideas fosters innovation and engagement, and allows us to attract the best people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. If you need assistance, or reasonable accommodation during the application and recruiting process, please connect with your talent sourcing partner.

Pay Rate Range: $80-$92/hr

Benefits: Medical, Dental, Vision, 401K

Seniority level    Seniority level Mid-Senior level
Employment type    Employment type Contract
Job function    Job function Product Management and Marketing
Industries Software Development
Referrals increase your chances of interviewing at Airbnb by 2x
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Question	Topic	Difficulty	Ask Chance
Listing Bookings Aggregation	SQL	Medium	Very High
Order Addresses	SQL	Medium	Very High
Slacking Employees Salaries	SQL	Medium	High

Airbnb Business Intelligence Interview Guide

Overview

Airbnb Business Intelligence Interview Process

Airbnb Business Intelligence Interview Questions

Airbnb Business Intelligence Jobs