Teams at Airbnb

Develop frameworks and tooling to estimate long-term impacts of product changes from short-term experiment outcomes. Build causal inference methods (experimental, econometric, quasi-experimental), evaluate heterogeneous treatment effects, own major estimation problems, and communicate results to technical and non-technical stakeholders to drive better long-term decisions.

Lead development and productionization of large-scale ranking and personalization ML systems. Build data pipelines, features, and models (batch and real-time), collaborate cross-functionally, run experiments, and improve infrastructure for search, recommendation, and marketplace optimization.

Lead a team that owns recruiting technology and data strategy, including ATS/CRM roadmap, integrations, data architecture, governance, advanced analytics, vendor management, and cross-functional delivery to drive recruiting decisions and scalable systems.