Staff, Advanced Analytics, Community Support AI Assistant
Airbnb
Staff, Advanced Analytics, Community Support AI Assistant
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: 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
- 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.
- 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.
Your Expertise
- 12+ 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).
- Contact center domain and market place domain knowledge would be a plus
Benefits
- bonus
- equity
- benefits
- Employee Travel Credits
How We'll Take Care of You
$176,000—$220,000 USD
Locations
- United States,
Salary
176,000 - 220,000 USD / yearly
176,000 - 220,000 USD / yearly
Source: xAI estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- 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 audiencesintermediate
- Strong expertise in Python, SQL, A/B testing platforms and best practicesintermediate
- 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 etcintermediate
- Understanding of LLM architectures (e.g., prompt chains, retrieval augmentation, orchestration frameworks like LangChain or DSPy).intermediate
- Familiarity with Agentic AI systems, human-in-the-loop design, and AI observability best practicesintermediate
- Experience partnering with internal teams to drive action and providing expertise and direction on analytics, data science, experimental design, and measurement.intermediate
- Experience designing and building metrics, from conception to building prototypes with data pipelinesintermediate
- Familiarity with vector stores, embeddings, prompt instrumentation, and structured logging of LLM interactions would be a plusintermediate
Required Qualifications
- 12+ 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). (experience)
- Contact center domain and market place domain knowledge would be a plus (experience)
Responsibilities
- 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.
- 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.
Benefits
- general: bonus
- general: equity
- general: benefits
- general: Employee Travel Credits
Tags & Categories
Staff, Advanced Analytics, Community Support AI Assistant
Airbnb
Staff, Advanced Analytics, Community Support AI Assistant
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: 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
- 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.
- 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.
Your Expertise
- 12+ 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).
- Contact center domain and market place domain knowledge would be a plus
Benefits
- bonus
- equity
- benefits
- Employee Travel Credits
How We'll Take Care of You
$176,000—$220,000 USD
Locations
- United States,
Salary
176,000 - 220,000 USD / yearly
176,000 - 220,000 USD / yearly
Source: xAI estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- 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 audiencesintermediate
- Strong expertise in Python, SQL, A/B testing platforms and best practicesintermediate
- 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 etcintermediate
- Understanding of LLM architectures (e.g., prompt chains, retrieval augmentation, orchestration frameworks like LangChain or DSPy).intermediate
- Familiarity with Agentic AI systems, human-in-the-loop design, and AI observability best practicesintermediate
- Experience partnering with internal teams to drive action and providing expertise and direction on analytics, data science, experimental design, and measurement.intermediate
- Experience designing and building metrics, from conception to building prototypes with data pipelinesintermediate
- Familiarity with vector stores, embeddings, prompt instrumentation, and structured logging of LLM interactions would be a plusintermediate
Required Qualifications
- 12+ 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). (experience)
- Contact center domain and market place domain knowledge would be a plus (experience)
Responsibilities
- 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.
- 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.
Benefits
- general: bonus
- general: equity
- general: benefits
- general: Employee Travel Credits
Tags & Categories