Staff Advanced Analytics, Community Blueprint & Quality

Posted Yesterday
Be an Early Applicant
Hiring Remotely in United States
Remote
180K-221K Annually
Senior level
Real Estate • Travel • PropTech
The Role
Leads advanced analytics for Airbnb’s Community Blueprint Quality team. Responsibilities include diagnosing customer experience issues, designing experiments, applying causal inference, developing metrics, using LLMs to analyze unstructured data, building dashboards and analytical artifacts, and translating complex findings into recommendations for senior leadership. The role partners cross-functionally with Product, Engineering, Data Science, Data Engineering, Operations, and Finance.
Summary Generated by Built In

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 Quality & Blueprint team sits at the center of how Airbnb understands and improves the customer experience. We partner with Product, Engineering, Operations, and Finance to identify where the experience is breaking down, why it's breaking down, and what to do about it, so we can keep delighting the Airbnb community at scale. Our work informs strategy at the leadership level and decisions at the product squad level.

The Difference You Will Make:

This role will act as a senior analytics leader on the Community Blueprint Quality team. You'll deliver high-impact analysis, experimentation, and reporting that drives how the business diagnoses and improves the guest and host experience. This is a hands-on, execution-focused role designed to accelerate progress during a period of constrained capacity. You will operate independently, partner closely with cross-functional stakeholders, and own end-to-end work from problem framing to leadership-ready recommendations.

A Typical Day:

  • Conduct strategic deep dives into customer experience drivers (cleanliness, check-in, communication, etc.) to identify symptoms, diagnose root causes, and recommend interventions.
  • Design, execute, and analyze experiments (A/B tests and quasi-experiments) to measure the impact of quality and blueprint initiatives.
  • Build and apply causal inference frameworks (diff-in-diff, synthetic controls, propensity matching) to estimate the true impact of product, policy, and operational changes.
  • Leverage LLMs and AI-assisted analytics to extract structured insights from unstructured data and to scale root-cause taxonomy generation across millions of trips.
  • Develop and validate metrics and dimensions that monitor customer experience health and surface emerging quality issues.
  • Build and maintain analytical artifacts (queries, dashboards, readouts) that let stakeholders self-serve on standard questions.
  • Partner with Product, Engineering, Data Science, Data Engineering, and other Advanced Analytics teams to align on methodology, assumptions, and interpretation.
  • Translate complex analyses into clear, concise insights and recommendations for senior leadership.

Your Expertise:

  • 10+ years of experience in advanced analytics, data science, or applied quantitative analysis (industry experience required).
  • Strong hands-on expertise in SQL and at least one programming language (Python or R).
  • Proven experience designing and analyzing A/B experiments and applying statistical methods to real-world product problems.
  • Experience with causal inference techniques (diff-in-diff, synthetic controls, propensity scoring) and a track record of applying them to ambiguous business problems.
  • Hands-on experience with AI-assisted analytics workflows (Claude, ChatGPT, internal LLM agents) including prompt engineering, structured extraction from unstructured text, and using LLMs as classifiers or judges.
  • Experience building metrics end-to-end, including definitions, validation, and implementation in data pipelines.
  • Strong analytical judgment, ability to balance rigor with speed and clearly communicate tradeoffs.
  • Excellent communication skills with experience presenting to senior, non-technical audiences.
  • Demonstrated ability to operate independently, manage multiple priorities, and deliver against agreed timelines.
  • Experience in marketplace, product analytics, customer experience, or trust & safety contexts strongly preferred.

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
$180,000$221,000 USD

Reasonable Accommodations: We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.

A Note on Recruiting Scams: Scammers sometimes pose as Airbnb recruiters to get money or personal information from candidates. A few things that will always be true for Airbnb’s hiring process: our open roles are posted on Airbnb’s Career’s Page at careers.airbnb.com, and our recruiters correspond only from @airbnb.com or @ext.airbnb.com email addresses. Our recruiters will never ask for your Social Security number, bank account details, passport, or payment app information while you are interviewing.  We’ll also never ask you to pay a fee, send money, deposit or cash a check, or purchase work-related equipment (such as a company laptop) during the interview process. We encourage candidates to remain vigilant of these recruiting scams and not share sensitive information if you do not believe an individual is actually affiliated with Airbnb.


Skills Required

  • 10+ years of experience in advanced analytics, data science, or applied quantitative analysis, including industry experience
  • Strong hands-on SQL expertise
  • Proficiency in at least one programming language: Python or R
  • Experience designing and analyzing A/B experiments
  • Experience applying statistical methods to real-world product problems
  • Experience with causal inference techniques, including difference-in-differences, synthetic controls, and propensity scoring
  • Hands-on experience with AI-assisted analytics workflows, prompt engineering, structured extraction, and LLM classification or evaluation
  • Experience building metrics end-to-end, including definitions, validation, and data-pipeline implementation
  • Strong analytical judgment and ability to communicate methodological tradeoffs clearly
  • Excellent communication skills, including presenting to senior non-technical audiences
  • Ability to work independently, manage multiple priorities, and deliver against timelines
  • Experience in marketplace, product analytics, customer experience, or trust and safety contexts

Airbnb Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Airbnb and has not been reviewed or approved by Airbnb.

  • Fair & Transparent Compensation Pay ranges and total compensation components are increasingly disclosed, and country-level pay practices avoid location-based cuts, which feedback suggests improves consistency and perceived fairness.
  • Healthcare Strength Comprehensive core health coverage for employees, mental health resources, and substantial dependent support are repeatedly highlighted as robust and a standout element of the package.
  • Leave & Time Off Breadth Generous PTO, a winter shutdown, sabbaticals, and paid volunteer time are described as extensive, with parental leave and phased return options reinforcing time-off flexibility.

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The Company
HQ: Dublin
14,622 Employees
Year Founded: 2008

What We Do

Airbnb is a community based on connection and belonging—a community that was born in 2008 when two hosts welcomed three guests to their San Francisco home, and has since grown to 4 million hosts who have welcomed over 800 million guest arrivals to about 100,000 cities in almost every country and region across the globe. Hosts on Airbnb are everyday people who share their worlds to provide guests with the feeling of connection and being at home. At Airbnb, we believe that hosts, guests and the communities where we operate are all stakeholders we have a responsibility to serve, and that by serving them alongside our employees and investors, we will build an enduringly successful company.

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