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:Marketplaces Data and AI is a group of passionate machine learning, software, data, and analytics engineers. We are responsible for developing new, cutting-edge AI and data products that leverage Airbnb's massive datasets across Users, Listings, Pricing, and Supply/Demand. You will be a crucial part of the Guest and Host organization, building the intelligence that powers the web and native apps used by hundreds of millions of guests and hosts globally.
The Difference You Will Make:- Define and execute strategy to dramatically improve the intelligence of the Guest and Host apps through machine learning and data products.
- Set priorities, balance speed and quality, and ensure the engineering team executes against an ambitious roadmap.
- Partner with Product, Design, and Data Science to take high-impact ML initiatives from concept to production.
- Examples of initiatives include AI Photo Tour, Categories and AI-driven review synthesis.
A Typical Day: - Lead and mentor a diverse team of ~10+ engineers and technical leads across Machine Learning, Data Engineering, Analytics Engineering, and Software Engineering.
- This role is highly cross functional so you will partner with senior leadership in Data Science, Product, and across our Business to align stakeholders, define multi-year roadmaps, set and execute on iterative milestones.
- Collaborate closely with key engineering teams, including Host Tools, Pricing, Guest Experience, Trust, Infrastructure, and Customer Service Platform.
- Coaching and developing team members, helping them grow their careers, technical expertise, and collaboration skills.
Your Expertise:- 12+ years of industry experience, with a minimum of 5-7 years in engineering management.
- A proven track record of shipping highly scalable data and machine learning products to consumers in a fast paced environment
- Expertise in setting 2-3 year technical strategies and roadmaps, aligning vision with diverse executive and technical stakeholders.
- Demonstrated experience building, scaling, and leading high-performing teams quickly in dynamic, fast-paced domains.
- Exceptional people management and mentorship skills, with a history of recruiting, developing and retaining top engineering talent.
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: 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
$204,000-$255,000 USD
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