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Airbnb Customer Service Jobs (NOW HIRING)

Airbnb

Product Manager

San Francisco, CA · Remote

... Airbnb, including product, design, engineering, data science, payments, trust, customer support ... services and solutions. All qualified individuals are encouraged to apply. We strive to also ...

Airbnb

Staff Backend Engineer - Ads Platform

... with the Airbnb product to understand the customer journey. Your Expertise: * 9+ years of ... services and solutions. All qualified individuals are encouraged to apply. We strive to also ...

Airbnb

Senior Staff Software Engineer, Payments

... services. It is a core strategy to fulfill Airbnb's belongs anywhere mission. We are building a ... Your Customer (KYC), and sanctions screening while minimizing operational cost and customer ...

Airbnb

Product Manager

San Francisco, CA · Remote

... Airbnb, including product, design, engineering, data science, payments, trust, customer support ... services and solutions. All qualified individuals are encouraged to apply. We strive to also ...

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How much do airbnb customer service jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for airbnb customer service in the United States is $18.80, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $20.91 per hour, depending on experience, location, and employer.

What are some of the typical challenges faced by Airbnb customer service representatives, and how are they supported in handling them?

Airbnb Customer Service representatives often encounter challenging situations, such as resolving disputes between guests and hosts, handling urgent booking issues, and addressing high-stress scenarios like last-minute cancellations. To support employees, Airbnb provides comprehensive training, ongoing access to knowledge bases, and escalation paths for complex cases. Team members frequently collaborate with supervisors and specialized departments to ensure issues are handled efficiently and in line with company policies. This supportive team environment helps representatives deliver high-quality service while maintaining a positive work-life balance.

What is an Airbnb customer service?

An Airbnb Customer Service job involves assisting guests and hosts with inquiries, resolving issues, and ensuring a smooth experience on the platform. Responsibilities may include handling booking concerns, payment disputes, account issues, and policy questions via chat, email, or phone. Strong communication and problem-solving skills are essential to provide efficient and friendly support.

What are the key skills and qualifications needed to thrive in the Airbnb customer service position?

To thrive as an Airbnb Customer Service professional, you need excellent communication skills, problem-solving abilities, and a strong customer-focused mindset, often supported by experience in hospitality or customer support roles. Familiarity with customer relationship management (CRM) systems, help desk software, and Airbnb's internal platforms is commonly required. Patience, empathy, and the ability to remain calm under pressure are essential soft skills that set top performers apart. These competencies are crucial for efficiently resolving guest and host inquiries while ensuring a positive experience and upholding Airbnb's reputation.

More about Airbnb Customer Service jobs
What cities are hiring for Airbnb Customer Service jobs? Cities with the most Airbnb Customer Service job openings:
What are the most commonly searched types of Airbnb Customer Service jobs? The most popular types of Airbnb Customer Service jobs are:
What states have the most Airbnb Customer Service jobs? States with the most job openings for Airbnb Customer Service jobs include:
What job categories do people searching Airbnb Customer Service jobs look for? The top searched job categories for Airbnb Customer Service jobs are:
Airbnb Customer Service jobs near you
Infographic showing various Airbnb Customer Service job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, and 24% Part Time. Highlights an 65% In-person, and 35% Remote job distribution, with an average salary of $39,098 per year, or $18.8 per hour.

Data Scientist - Algorithms, Community Support

Airbnb

Remote

Full-time

Re-posted 13 days ago

Airbnb rating

6.1

Company rating: 6.1 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

15th of 21 rated holiday rentals

Job description

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:
Airbnb is a mission-driven company dedicated to creating a world where anyone can belong anywhere. Our Community Support (CS) team is at the heart of that mission-delivering seamless, 10-star customer service experiences complemented by world-class, personalized human support that empowers hosts and guests at every step of their journey.
As a Data Scientist working on Algorithms in CS, you will have the opportunity to collaborate with a strong team of engineers, product managers, designers and operation agents to enable personalized, fair and exceptional experience for guests & hosts using advanced LLM/ML modeling for Community Support.
The Difference You Will Make:
We're looking for a talented Data Scientist with LLM/ML expertise to join the Community Support Data Science team. In this role, you'll partner closely with the tech lead to tackle significant components of high-impact projects with a direct opportunity to shape and influence our AI-powered products, differentiated service experiences, and operational optimization strategies.
The ideal candidate combines deep technical fluency in LLM/ML with a bias toward action and impact, comfort with ambiguity, and a passion for building scalable, scientific solutions. You'll work on high-impact projects like:
  • Implement advanced techniques to automate the LLM evaluation process with high efficiency and quality.
  • Scale the high-quality synthetic datasets curation across various CS domains for training and evaluating LLM.
  • Build LLM/ML models to understand customer issues based on diverse datasets and identify failure modes and opportunities for improvement.
  • Build personalization models to offer differentiated experiences and maximize business impact.

A Typical Day:
  • Discover Opportunities: Identify high-impact business opportunities through data exploration and model prototyping, and translate business problems into scientific formulations.
  • Uncover Insights: Analyze structured and unstructured data to uncover meaningful insights and craft actionable proposals that help shape strategy.
  • Build and Ship: Build and deploy production LLM/ML models that directly contribute to the launch of data-driven products, leveraging AI tools to enhance efficiency and impact.
  • Collaborate Cross-Functionally: Build strong relationships with cross-functional partners across Product, Design, Engineering, Operations, and Analytics to drive collaboration and innovation.
  • Influence Decisions: Communicate learnings to leaders and stakeholders in a clear, compelling manner that drives informed, data-driven decision-making.
  • Empowerment: Think strategically about how to scale and evolve data science capabilities within your domain, contributing to the long-term vision for how science drives platform outcomes.

Your Expertise:
  • 2+ years of relevant industry experience (e.g. data/ML scientist, tech lead, junior faculty) and a Master's degree or PhD in relevant fields.
  • State-of-the-art knowledge of AI/ML models.
  • Strong fluency in Python/R and SQL, observation causal inference skill is a plus.
  • Proven ability to communicate clearly and effectively to audiences of varying technical levels.
  • Ability to translate complex findings and results into compelling narratives that drive impact.
  • Excellent project management, communication, and collaboration skills.
  • A product-oriented mindset, with the ability to apply conceptual and innovative thinking to develop and implement solutions that consider the user experience.

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
$151,000-$175,000 USD

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