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Airbnb Manager Jobs (NOW HIRING)

Airbnb

Senior Staff Software Engineer, Trust

$125K - $165K/yr

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 ...

Airbnb

Staff Software Engineer, Build (Bazel)

$204K - $255K/yr

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 ...

Airbnb

Engineering Manager, Workflow Orchestration

Airbnb is a global platform that connects hosts and guests, and they are seeking an Engineering Manager for their Workflow Orchestration team. This role involves leading a team to design and operate ...

Airbnb

Senior Staff Operations Engineer, AIOps

The Global Operations team at BizTech manages production services across Airbnb's corporate environment, delivering reliable operations through Observability, Incident Management, Core Operations ...

Airbnb

Principal Software Engineer, Performance

$138K - $185K/yr

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 ...

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Airbnb Manager information

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$29K

$104.6K

$118K

How much do airbnb manager jobs pay per year?

As of Jul 5, 2026, the average yearly pay for airbnb manager in the United States is $104,575.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,000.00 and $116,500.00 per year, depending on experience, location, and employer.

Can I pay someone to manage my Airbnb?

Yes, an Airbnb manager is a professional who can be hired to handle tasks such as guest communication, cleaning, maintenance, and pricing optimization. Hiring a manager can help streamline operations, especially for hosts with multiple listings or limited time, and often involves contracts or service agreements.

What are some common challenges Airbnb Managers face when coordinating with cleaning and maintenance teams?

Airbnb Managers often encounter challenges in ensuring timely turnovers between guest stays, especially during peak seasons or back-to-back bookings. Coordinating cleaning and maintenance teams to handle last-minute issues, such as unexpected repairs or deep cleaning, requires strong communication and organizational skills. It's essential to establish reliable vendor relationships and implement clear checklists to maintain high property standards and guest satisfaction. Proactively scheduling and maintaining open lines of communication with service providers helps minimize disruptions and keeps operations running smoothly.

What is the 80/20 rule for Airbnb?

For an Airbnb manager, the 80/20 rule suggests that roughly 80% of bookings and revenue often come from 20% of the listings or guests. Focusing on high-performing properties and key guest segments can maximize efficiency and profitability in managing multiple listings.

What does an Airbnb Manager do?

An Airbnb Manager is responsible for overseeing the day-to-day operations of short-term rental properties listed on platforms like Airbnb. Their duties typically include managing guest communications, coordinating cleaning and maintenance, setting competitive prices, handling bookings, and ensuring a high standard of hospitality. By taking on these tasks, they help property owners maximize occupancy rates and guest satisfaction. Some Airbnb Managers also assist with marketing the property and ensuring compliance with local regulations.

What is the difference between Airbnb Manager vs Property Manager?

AspectAirbnb ManagerProperty Manager
CredentialsExperience in short-term rentals, hospitality, customer serviceReal estate, property management certifications often preferred
Work EnvironmentFocus on short-term rental platforms, online managementBroader property oversight, long-term rentals
Employer & IndustryHospitality, vacation rental companies, individual hostsReal estate firms, property management companies
Search & Comparison IntentYesYes

While both roles involve managing rental properties, an Airbnb Manager specializes in short-term vacation rentals on platforms like Airbnb, focusing on guest experience and platform-specific operations. A Property Manager oversees long-term rental properties, handling maintenance, tenant relations, and leasing. The roles share some skills but differ mainly in rental type and management scope.

What is the 75-55 rule for Airbnb?

The 75-55 rule is a guideline used by Airbnb managers to optimize occupancy and revenue, suggesting that hosts should aim to keep their occupancy rate around 75% while maintaining a minimum of 55% of their potential earnings. This helps balance availability with profitability, especially when managing multiple listings or adjusting pricing strategies. Understanding such rules can assist Airbnb managers in maximizing their property's performance.

How much does an Airbnb manager get paid?

Airbnb managers typically earn between $15 and $50 per hour, depending on experience, location, and the scope of responsibilities. Some managers work on a salary basis or receive a percentage of rental income, especially in full-service management roles. Compensation can also include bonuses for high performance or occupancy rates.

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

To thrive as an Airbnb Manager, you need expertise in property management, hospitality standards, and customer service, often supported by experience in real estate or hospitality. Familiarity with reservation platforms like Airbnb, dynamic pricing tools, and property management software is typically required. Outstanding communication, problem-solving, and organizational skills help you deliver seamless guest experiences and resolve issues quickly. These skills are crucial for maintaining high occupancy, positive guest reviews, and efficient property operations.
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Airbnb Manager jobs near you
Senior Staff Machine Learning Engineer, Growth Platform Engineering

Senior Staff Machine Learning Engineer, Growth Platform Engineering

Airbnb

Remote

$107K - $146K/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:
The Growth Platform team's vision is to drive long term sustainable growth for the Airbnb community. Our mission is to build a best-in-class agentic system, and capabilities to support the growth of all Airbnb products, current and future. We achieve this by delivering highly personalized and relevant content and product experiences to the Airbnb community, both on and off of the Airbnb platform. The north star is full autonomy - where AI identifies opportunities, creates campaigns, personalizes experiences, and optimizes outcomes with minimal human intervention. We are progressing along a deliberate maturity curve: AI assisted → agentic → autonomous, with human-in-the-loop controls at every stage to ensure brand safety, quality, and compliance.
The Growth Platform deeply integrates with the Airbnb product, understanding the customer journey and enabling differentiated customer engagement experiences to drive product growth. The platform also powers digital marketing channels including landing pages, email, push, SMS, and digital advertising, as well as the machine learning/AI and data platforms that feed into the management and optimization of these channels.
The Difference You Will Make:
  • As a machine learning engineer or scientist, your expertise will be pivotal in developing AI-powered solutions to shape the future of the Airbnb agentic growth platform with cutting-edge AI techniques. You will drive and guide the rest of the engineers to brainstorm, design and develop AI products and features from inception to production.
  • We're seeking a Senior Staff Engineer who thrives at the intersection of technical depth, architectural thinking, and mentorship.
  • You'll collaborate with cross-functional leaders, build resilient systems that operate globally at scale, and help evolve the foundational building blocks behind AI-powered growth systems.

Some example projects you will work on:
  • AI-Powered Content Generation - Developing agentic capabilities to autonomously create personalized emails, push notifications, Ad copy, and creatives. This significantly scales marketing efforts by enabling more campaigns, greater variant testing, and faster iteration cycles.
  • ML/AI Orchestration for Decisioning - Utilizing AI to determine the optimal audience, message, channel, and timing for communications. This shifts marketing decision-making to model-driven intelligence, enhancing relevance and minimizing message fatigue. The direct impact is an uplift in engagement rates, conversion, and ultimately, bookings.
  • Proactive Marketing Analyst Agent - Designing an AI agent that autonomously identifies new marketing opportunities and converts them into executable campaigns. It leverages world knowledge, proprietary Airbnb intelligence, and deep customer profiles. A crucial performance-based feedback loop ensures the system continuously learns from campaign outcomes to refine and improve future recommendations.

A Typical Day:
  • Work with large scale structured and unstructured data; explore, experiment, build and continuously improve Machine Learning models and pipelines for Airbnb product, business and operational use cases.
  • Work collaboratively with cross-functional partners including product managers, operations and data scientists, to identify opportunities for business impact; understand, refine, and prioritize requirements for machine learning, and drive engineering decisions.
  • Hands-on develop, productionize, and operate ML/AI models and pipelines at scale, including both batch and real-time use cases.
  • Leverage third-party and in-house Machine Learning tools & infrastructure to develop reusable, highly differentiating and high-performing Machine Learning systems, enable fast model development, low-latency serving and ease of model quality upkeep.
  • Collaborate actively with engineers to apply ML / AI in their solutions to help validate ideas and guide to the right outcomes.
  • Partner with ML/AI Engineers in foundations engineering to mentor and develop initiatives that make ML/AI applications a core discipline for non-ML/AI engineers.

Your Expertise:
  • 12+ years of industry experience in applied ML/AI, inclusive MS or PhD in relevant fields
  • Strong programming (Scala / Python / Java / C++ or equivalent) and data engineering skills
  • Deep understanding of ML/AI best practices (e.g. training/serving skew minimization, A/B test, feature engineering, feature/model selection), algorithms (e.g. neural networks/deep learning, optimization) and domains (e.g. natural language processing, computer vision, personalization, search and recommendation, marketplace optimization, anomaly detection)
  • Deep understanding of Machine Learning best practices (eg. training/serving skew minimization, A/B test, feature engineering, feature/model selection) and algorithms (eg. gradient boosted trees, neural networks/deep learning, optimization)
  • Experience with technologies such as: Tensorflow, PyTorch, Kubernetes, Airflow (or equivalent), Kafka (or equivalent)
  • Expertise with architectural patterns of a large, high-scale software applications (e.g., well-designed APIs, high volume data pipelines, efficient algorithms, models)

Preferred Qualifications:
  • Agentic and Automation: Experience with AI technologies in automating processes and developing agentic solutions and frameworks.
  • Agile Practice for AI Production: Experience with the entire AI product development lifecycle from incubation to production at scale, following agile practices in the Applied AI/ML domain.
  • Infrastructure Acumen: Experience building robust testing frameworks for agent behavior validation and continuous improvement, and driving architectural requirements on ML infrastructures

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

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