Role Description The Community You Will Join: - Policy & Communications is at the heart of how Airbnb works with communities and stakeholders around the world. - Position: Senior Policy Economist (part of Airbnb’s Data Science organization). - Support the team to ensure engagements are data-driven. The Difference You Will Make: - Provide meaningful insights within Airbnb and to communities globally. - Work with cross-functional partners (policy/comms, business, legal, finance, data science). - Collaborate with external partners (experts, academics, policy-makers, media). - Navigate environments independently while driving your own agenda. - Maintain a teamwork mentality and a “no task too big or too small” attitude. - Conduct quantitative analysis on high-impact topics (regulation, housing, tourism, economic development/impact, taxes). - Translate complex analyses into accessible and scalable resources. - Act as a trusted data expert and storyteller. A Typical Day: - Regulatory & economic impact modeling, guidance to policy team members. - Use AI/ML and econometric models to derive insights from legislation and data sources. - Collaborate with academics and experts on policy research topics. - Mapping and spatial analysis of data. - Create amazing visualizations to convey key concepts. - Convert insights into “Data Journalism” for the communications team. - Build prototypes, dashboards, and tools to scale data usage across the organization. Qualifications - Advanced degree in a quantitative field. - 4+ years experience in data modeling & analysis, including experience leveraging AI. - 5+ years of industry experience with a BS/Masters or 2+ years with a PhD. - Ability to perform complex strategic analysis. - Excellent project management, communication, and teamwork skills. - Causal inference techniques (e.g. econometric regressions & quasi-experimental techniques). - Knowledge of data tools including: R/Python, SQL, Data Visualization, GIS. - Exposure to the policy and economics domain, or adjacent domains. Location - This position is US - Remote Eligible. - May include occasional work at an Airbnb office or attendance at offsites. - Must live in a state where Airbnb, Inc. has a registered entity. Our Commitment To Inclusion & Belonging - Committed to working with the broadest talent pool possible. - Diverse ideas foster innovation and engagement. - All qualified individuals are encouraged to apply. - Disability inclusive application and interview process. - Contact for reasonable accommodations: reasonableaccommodations@airbnb.com. Benefits - Base pay range: $179,000 — $210,000 USD. - Dependent on factors such as training, transferable skills, work experience, business needs, and market demands. - Role may be eligible for bonus, equity, benefits, and Employee Travel Credits.

• Design and maintain monitoring and observability solutions for AI applications and ML pipelines • Track logs, metrics, and traces using tools such as CloudWatch, Datadog, or similar platforms • Develop evaluation and testing frameworks for prompts, models, and AI workflows • Perform regression testing and quality validation for LLM-based systems • Manage prompt experimentation, versioning, and A/B testing processes • Debug AI workflows, including model outputs, orchestration pipelines, and infrastructure failures • Support deployment, scaling, and maintenance of AI/ML infrastructure in production environments • Collaborate with engineering and product teams to improve system reliability and performance • Analyze production data and user feedback to drive continuous improvement of AI systems • Contribute to operational best practices, documentation, and incident response processes

• Architect Durable Agent Runtime leveraging agentic AI frameworks • Build the Integration Fabric allowing agents to discover tools and negotiate capabilities • Develop the Memory Manager optimizing RAG pipelines and eviction policies • Create the trust layer with governance ensures agents operate within deterministic boundaries

• contribute to designing, scaling/building, evaluating, integrating, shipping, and refining reward signals for recommendations • lead collaborations and align across PZN to integrate and A/B test mid-term signals • promote best practices of ML systems development throughout the organization • responsible for ML development, prototyping models, building pipelines, productizing/scaling models, and launching A/B tests