Senior Manager, Advanced Analytics, Fraud & Safety Operations

🕒 April 9

🇺🇸 United States – Remote

💵 $212k - $265k / year

⏰ Full Time

🟠 Senior

⚙️ Operations

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Airbnb

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2007

👥 B2C

🛍️ eCommerce

💰 Post-IPO Equity on 2020-12

B2C • eCommerce • Hospitality

Airbnb is a global online marketplace that connects people looking for accommodation with hosts offering unique and diverse lodging options, often in residential properties. Users can book spaces ranging from one-bedroom apartments to entire homes and boutique hotels. Airbnb also offers experiences, allowing guests to book activities hosted by locals, providing an authentic travel experience.

📋 Description

• Own end-to-end analytical workflows for platform safety controls: data ingestion, feature engineering, modeling, experimentation, and visualization. • A core mandate is to 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. Ensure metrics are future-proof, privacy-compliant, and globally scalable. • 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. • Cross-Functional Execution • 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 • Partner with Policy, Product, Engineering, Fraud and Safety Ops, and Legal to align analytics with global safety and privacy regulations (e.g., GDPR, CCPA). • 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: • How to measure rare platform events with statistical rigor • User authentication & connected-account vectors (e.g., social logins, device fingerprinting). • Circumvention tactics (e.g., multi-accounting, listing duplication, payment abuse). • Global privacy and data-protection standards (GDPR, CCPA, SOC 2, etc.). • Skilled in incident impact scoping, post-incident analytics, and scenario planning or tabletop exercises—translating insights into systematic improvements. • Track record of enabling legal, policy, ops, product, and engineering teams to make independent, forward-facing, data-driven decisions via self-service. • Exceptional storyteller with a flair for making complex analytics actionable for every audience, and for championing transformation deep into the organization.

🏖️ Benefits

• Financial Benefits that may include: bonus opportunities, equity opportunities, and Employee Travel Credits.