The opportunity
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…
What you'll do
Collaborate with other team members and stakeholders to help understand data-: and people-related business problems and translate them into scalable data solutions
Build data pipelines and tables from HR systems such as Workday, Greenhouse, and other data sources
Support Data Science team members in leveraging data for reporting, dashboard: development, and other client-facing use-cases
Build, update, and maintain a production-grade data foundation that supports: AI initiatives — including pipelines that feed LLM-powered tools, evaluation and feedback datasets, and the access controls and data models required to responsibly scale AI products from prototype to production
Design and deliver data products, including dashboards and reporting tools: (e.g., Streamlit visualization apps), that surface actionable insights for non-technical stakeholders
Write and optimize queries across both distributed query engine: (Trino/Presto) and private relational database (Postgres)
What they're looking for
- Align on priorities and work from a roadmap, ensuring you are focusing on the highest-priority projects
- Assess data readiness for AI use cases, working with EX teams, Legal, and: BizTech to ensure sensitive employee data is handled with appropriate governance, permissioning, and access controls
- Support the transition of AI prototypes to production by building the: underlying infrastructure — automated pipelines, security controls, and stable data models — that prototypes require to scale
- Exercise traits of adaptability and good judgment to support organizational agility
