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Airbnb Customer Jobs (NOW HIRING)

Airbnb

Interact with Airbnb customers and community members through all current and future channels, both inside and outside of Airbnb tools, including livechat, social platforms, messaging, and directly ...

Airbnb

Senior Software Engineer, Guest & Host

$190K - $220K/yr

... of Airbnb's core product. This role also interacts with a large cross-functional team of partners across product and design, business and partnerships, customer support and more. The Difference You ...

Airbnb

Senior Staff Software Engineer, Trust

$125K - $165K/yr

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has ... developers as customers and championing self-service, documentation, and delightful DX.

Airbnb

Senior Staff Engineer, Payments Compliance

Your decisions will directly affect how Airbnb meets obligations such as Anti-Money Laundering (AML), Know Your Customer (KYC), and sanctions screening while minimizing operational cost and customer ...

Airbnb

Staff Software Engineer, Build (Bazel)

$204K - $255K/yr

... at Airbnb's scale, while driving technical direction for build infrastructure spanning multiple platform teams. Our internal customer teams deliver systems used by product engineers across backend ...

Airbnb

Senior Staff Operations Engineer, AIOps

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has ... customer and community value while balancing near- and long-term needs. * You will own the AIOps ...

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Airbnb Customer information

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$39K

$78.6K

$108.5K

How much do airbnb customer jobs pay per year?

As of Jun 12, 2026, the average yearly pay for airbnb customer in the United States is $78,569.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,000.00 and $90,000.00 per year, depending on experience, location, and employer.

What is the difference between Airbnb Customer vs Airbnb Host?

AspectAirbnb CustomerAirbnb Host
Primary RoleBook and use accommodationsList, manage, and host guests
Required CredentialsValid ID, payment infoProperty ownership or management license (optional)
Work EnvironmentOnline platform, customer serviceHome or property, hospitality setting
Industry UsageTravel, tourismHospitality, property rental

In summary, Airbnb Customers are travelers who book stays through the platform, while Airbnb Hosts are property owners or managers who list their spaces for guests. Both roles are essential to the Airbnb ecosystem but involve different responsibilities and interactions within the platform.

What are some common challenges faced by Airbnb Customer Service Representatives and how can they effectively handle them?

Airbnb Customer Service Representatives often encounter challenges such as resolving disputes between guests and hosts, managing booking issues, and handling urgent situations like cancellations or property concerns. Effective representatives stay calm under pressure, use empathy to understand both parties’ perspectives, and follow Airbnb’s policies to find fair solutions. Strong communication and problem-solving skills, as well as familiarity with the platform’s tools, help them navigate these situations efficiently. Ongoing training and supportive team structures also ensure representatives can collaborate and escalate complex cases when needed.

What are the key skills and qualifications needed to thrive as an Airbnb Customer Service Representative, and why are they important?

To excel as an Airbnb Customer Service Representative, you need strong problem-solving abilities, clear communication skills, and experience in customer support, often supported by a background in hospitality or related fields. Familiarity with CRM platforms, ticketing systems, and Airbnb’s internal tools is typically required. Patience, empathy, and conflict resolution are crucial soft skills for providing exceptional service and handling diverse guest or host concerns. These competencies ensure positive customer experiences, foster brand loyalty, and help resolve issues efficiently in a fast-paced environment.

What are Airbnb Customers?

Airbnb customers are individuals who use the Airbnb platform to book accommodations, experiences, or other services offered by hosts around the world. These customers can be travelers seeking short-term rentals, business professionals, or anyone looking for unique lodging options beyond traditional hotels. As Airbnb customers, they create accounts, search for listings, communicate with hosts, and complete bookings directly through the platform. They are also responsible for following Airbnb’s policies and leaving reviews after their stays. Airbnb customers benefit from a wide range of choices, flexible pricing, and the ability to engage with local communities.
More about Airbnb Customer jobs
What job categories do people searching Airbnb Customer jobs look for? The top searched job categories for Airbnb Customer jobs are:
Airbnb Customer jobs near you
Infographic showing various Airbnb Customer job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 77% Full Time, and 22% Part Time. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $78,569 per year, or $37.8 per hour.
Machine Learning Engineer, Customer Support Engineering

Machine Learning Engineer, Customer Support Engineering

Airbnb

Remote

$162K - $186K/yr

Full-time

Posted 22 days ago

Airbnb rating

5.8

Company rating: 5.8 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

16th 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:
Machine Learning and Artificial Intelligence are at the heart of the Airbnb product. From Trust to Payments, and from Customer Service to Marketing we rely on ML to ensure that guests and hosts have the best possible experience with Airbnb.
The Core ML team in Community Support is the team responsible for adopting the Agentic AI technologies to enable an intelligent, scalable and exceptional customer service experience. We are responsible for developing the Chat AI assistant, Voice AI Assistant and more! The team is constantly exploring the SOTA Agentic architecture, develops and enhances various AI models, ML services and leverages tools including SFT, Reinforcement learning, Distillation, RAG/Search, LLM evaluation and testing automation, feedback-based learning and guardrail for a wide range of applications in Airbnb.
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 build and leverage cutting edge AI technologies to transform Airbnb's customer service by delivering personalized, easy-to-use and proactive customer service experience.
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.
A Typical Day:
  • Champion the development of novel ML systems, product integrations, and performance optimizations to solve real-world problems
  • Work cross-functionally with product, design, and other engineering counterparts to design and build efficient AI solutions for Airbnb CS products
  • Learn and share the latest AI/ML technologies with the team.

Your Expertise:
  • PhD or Master's degree w/ 3+ YOE in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field - or equivalent industry experience
  • Hands-on expertise in LLM, including pretraining, fine-tuning (SFT, RLHF, GRPO), prompt engineering, RAG architectures, and LLM evaluation frameworks
  • Experience building Agentic AI systems - including multi-agent orchestration, tool-use, planning, memory, and autonomous reasoning pipelines (e.g., ReAct, LangGraph, AutoGen, or similar)
  • Experience of shipping production-grade ML/AI systems at scale, with deep understanding of ML infrastructure, model serving, and MLOps best practices
  • Excellent communication skills with the ability to collaborate effectively across Engineering, Product, and Design organizations

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
$162,000-$186,000 USD

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