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:
We are looking for a hands-on staff advanced analyst who has demonstrated success in building an analytics team with functional expertise in building analytical solutions. Be a trusted partner to product teams and business leaders, across marketplace teams through providing insights, recommendations, and enabling data driven decisions. This role will sit under the Advanced Analytics family and support Product and Business leaders within our CS organization.
The Difference You Will Make:
- Data thought partner to product and business leaders across marketplace teams through providing insights, recommendations, and enabling data informed decisions.
- Drive day to day product analytics and build scalable analytical solutions
- Develop a deep understanding of how guests and hosts interact with our CS products including but not limited to AI Assistant, IVR and other agent assisting tools to improve the customer experience.
A Typical Day:
- Owning the product analytics roadmap, prioritization & delivery of solutions in the Contact Center Product space.
- Own projects from start to end: building out timelines, key milestones, providing regular updates to product managers, analytics management and delivery against agreed timelines.
- Lead end-to-end measurement for AI systems, aligning metrics with business outcomes, user experience, and trustworthiness
- Collaborate with engineering to define scalable logging and ensure observability across agentic and LLM workflows.
- Lead the design and evaluate A/B and causal tests to quantify impact of AI features and optimizations.
- Translate insights into strategic recommendations for senior leaders; shape product priorities through data.
- Hire, mentor and uplevel team capability in AI analytics, experiment best practices and storytelling.
Your Expertise:
- Min 12-18 years in industry experience and a degree (Masters or PhD is a plus) in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research).
- Expert communication and collaboration skills with the ability to work effectively with internal teams in a cross-cultural and cross-functional environment. Ability to conduct rigorous analysis and communicate conclusions to both technical and non-technical audiences
- Strong expertise in Python, SQL, A/B testing platforms and best practices
- Expertise in EDA, hypothesis testing, significance testing, regression, clustering techniques, concepts of NLP/Text Mining, machine learning and deep learning techniques, language model fine-tuning etc
- Understanding of LLM architectures (e.g., prompt chains, retrieval augmentation, orchestration frameworks like LangChain or DSPy).
- Familiarity with Agentic AI systems, human-in-the-loop design, and AI observability best practices
- Experience partnering with internal teams to drive action and providing expertise and direction on analytics, data science, experimental design, and measurement.
- Experience designing and building metrics, from conception to building prototypes with data pipelines
- Familiarity with vector stores, embeddings, prompt instrumentation, and structured logging of LLM interactions would be a plus
- Contact center domain and market place domain knowledge would be a plus
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.
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 shown below is annualized, is inclusive of allowances and is subject to change and may be modified in the future. This role may also be eligible for bonus or incentives, one or more equity programs, benefits, and Employee Travel Credits.
Skills Required
- 12-18 years industry experience
- Degree in a quantitative field (Bachelor required; Masters or PhD a plus)
- Proven experience building and leading analytics teams
- Expert communication and cross-functional collaboration skills
- Strong expertise in Python and SQL
- Experience with A/B testing platforms and experimentation best practices
- Expertise in EDA, hypothesis/significance testing, regression, clustering, and causal inference
- Experience with NLP/Text Mining, machine learning and deep learning techniques
- Experience with language model fine-tuning and understanding LLM architectures (prompt chains, retrieval augmentation)
- Familiarity with LangChain or DSPy (or similar orchestration frameworks)
- Familiarity with agentic AI systems, human-in-the-loop design, and AI observability practices
- Experience designing and building metrics and prototypes with data pipelines
- Experience partnering with product, engineering, and business teams to drive action from analytics
- Familiarity with vector stores, embeddings, prompt instrumentation, and structured logging of LLM interactions
- Contact center domain and marketplace domain knowledge
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.
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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.
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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.
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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.
Airbnb Insights
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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