Senior Manager, Advanced Analytics, Fraud & Safety Operations

Overview

Airbnb is a global community that connects hosts with guests through unique stays and experiences. The company is reimagining how fraud, safety, and quality are measured, protected, and elevated across the digital landscape.

Responsibilities

• Own end-to-end analytical workflows for platform safety controls: data ingestion, feature engineering, modeling, experimentation, and visualization.
• Co-own and drive the enterprise-wide “Safety Single Source of Truth” (SSoT) strategy—a unified, structured data asset and taxonomy that underpins decision-making across Product, Operations, Policy, and Legal.
• Build self-service, data tools that empower non-technical teams to ask deep questions, run “what if” analyses, and generate actionable, data-backed outcomes without gatekeeping.
• Craft compelling narratives and dashboards that surface insights to executives and cross-functional teams.
• Lead incident “war rooms,” presenting fast, actionable insights during high-severity events.
• Contribute to policy design (e.g., connected-accounts enforcement thresholds).
• Support external audits, law-enforcement requests, and board-level reporting.
• Operationalize frameworks that instantly assess and size the platform, reputational, and regulatory impact of safety incidents, enabling rapid escalation, crystal-clear retrospectives, and lessons learned.

Requirements

• 8+ years of experience in analytics, risk, or safety; 3+ years leading high-performing teams.
• Proven ownership of large-scale data products or taxonomies in a regulated environment.
• Strong SQL & data-modeling expertise; experimentation design, familiarity with Python/R; working knowledge of ML pipelines.
• Deep understanding of: measuring rare platform events with statistical rigor, user authentication & connected-account vectors, circumvention tactics, global privacy and data-protection standards.
• Skilled in incident impact scoping, post-incident analytics, and scenario planning or tabletop exercises—translating insights into systematic improvements.
• Exceptional storyteller with a flair for making complex analytics actionable for every audience, and for championing transformation deep into the organization.

Qualifications

• Track record of enabling legal, policy, ops, product, and engineering teams to make independent, forward-facing, data-driven decisions via self-service.

Skills

• Statistics or quantitative graduate degree (MS/PhD).
• Prior work in marketplace, fintech, or travel/hospitality tech environments.
• Familiarity with real-time decision engines, graph analytics, and anomaly-detection frameworks.
• Experience leading hybrid teams (onsite/remote) and managing third-party analytics vendors.

Benefits

• Flexible remote work option.

Pay

$212,000—$265,000 USD base pay range.

Schedule

Remote Eligible.