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Airbnb

Data Platform Manager, Community Support

Posted 14 Hours Ago
Be an Early Applicant
Remote
Hiring Remotely in United States
177K-208K Annually
Senior level
Remote
Hiring Remotely in United States
177K-208K Annually
Senior level
The Data Platform Manager leads data platform development, collaborates across functions, and ensures data quality for community support, driving engagement through data-driven solutions.
The summary above was generated by AI

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 Airbnb Community Support (CS) team is a global business unit that provides support to our Community of millions of guests and hosts who take trips and join experiences around the world every year.  Within CS, the Platform and Experience team is responsible for the product and technology that enables an intelligent, scalable and exceptional service experience. 

The Difference You Will Make:

We have big ambitions for our community support function and at the heart of every initiative is data

We are looking for a CS Data Platform Manager, who will be responsible for driving the development and evolution of our internal data platform capabilities, including but not limited to data foundations, data quality and data services. In this role, you will help ensure the CS organization has access to high quality, timely, and actionable data to support our Community of users, drive engagement, and scale operations efficiently.

A successful product candidate will work collaboratively across multiple functions (operations, eng, DS, product marketing, design etc) to shape our data products and services to empower multiple teams to deliver their key initiatives for the Airbnb Community at global scale.
A Typical Day:

  • Manage and spearhead the development of data platforms and products within the CS Platform and Experience team. 
  • Collaborate with cross-functional teams to understand user needs, align on objectives, and drive the successful delivery of data-driven solutions.
  • Define and maintain comprehensive product roadmaps that align with the organizational goals and customer support priorities.
  • Oversee the implementation of data projects, ensuring seamless integration and operational excellence tied to Airbnb’s data infrastructure.
  • Create innovative digital experiences and solutions that enhance Airbnb’s capabilities in data analytics, automation, and intelligence.
  • Monitor product performance and incorporate feedback to ensure continuous improvement in the platforms and tools developed
  • Facilitate a data-driven culture and empower other PMs to better define success metrics in their respective verticals

Your Expertise:

  • 5+ years of product management experience OR other technical disciplines related to data (engineering, data science, analysts, etc)
  • Proven track record of managing data platforms or similar technical product domains.
  • Strong understanding of data-driven technologies, infrastructure, and tools.
  • Excellent collaboration and communication skills to work with multidisciplinary teams.
  • Demonstrated ability to identify user needs and translate them into actionable product strategies.
  • Experience defining product roadmaps, managing priorities, and delivering high-quality outcomes.
  • Ability to orchestrate across teams, both yours and others’, to build and execute complex business plans and strategies
  • Experience in operating in global environments across cultures, locations, and time zones
  • A Community-first user-centric mindset
  • Highly analytical and comfortable making data-driven decisions while balancing the right approach for our Community
  • Familiarity with data science, analytics and machine learning concepts
  • Ability to quickly absorb technical concepts and communicate them to a non-technical audience
  • Experience working with a customer service team and/or operations team is a big plus

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: [email protected]. 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
$177,000$208,000 USD

Top Skills

Data Analytics
Data Science
Machine Learning

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