Airbnb에서 Fraud & Safety 운영을 총괄할 시니어 매니저를 채용합니다. 데이터 분석 및 대규모 운영 관리 경험이 필수이며, KPI 프레임워크 설계와 SQL, Python 활용 능력이 요구됩니다. 글로벌 팀을 리딩하며 데이터 기반의 의사결정 시스템을 구축하고 플랫폼 안전성을 강화하는 핵심 역할을 수행하게 됩니다.
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 that make it possible for guests to connect with communities in a more authentic way.
Airbnb is scaling how Fraud & Safety operations are measured, governed, and optimized globally. As Senior Manager, Analytics – Fraud & Safety Investigations, you will lead a team of analysts supporting human enforcement systems across content moderation, fraud review, and safety operations. You will own how operational performance is measured and improved—translating complex enforcement workflows into scalable KPI frameworks, experimentation roadmaps, and decision systems. This role sits at the intersection of Operations, Policy, Product, and Engineering, ensuring that human enforcement is efficient, consistent, and aligned with platform safety goals.
This is a high-impact leadership role focused on enabling fast, data-driven operational decisions at global scale. This role isn’t just about reporting what happened; it’s about building the systems that help Airbnb see around corners. You will democratize data access, build always-on scenario simulators for fraud and safety, and turn incident impacts into seamless signals for continuous improvement. Your insights and systems will empower every stakeholder—from legal to operations, policy to product—to make bold, data-driven, and context-aware decisions in real time.
Operational Analytics
Define and operationalize KPI frameworks for global Fraud & Safety operations (quality, accuracy, SLA, productivity, cost)
Build dashboards and reporting systems to monitor enforcement performance across regions, vendors, and workflows
Lead weekly/monthly business reviews, translating data into actionable insights for Ops, Policy, and leadership
Experimentation & Continuous Improvement
Design and lead experimentation (A/B testing, pilots) to improve enforcement quality, reviewer productivity, and user experience
Identify drivers of errors, escalations, and policy inconsistencies, and translate findings into process improvements
Partner with Ops and Policy to test and refine enforcement strategies (e.g., thresholds, escalation rules)
Workforce & Vendor Analytics
Partner with global operations and vendor teams to optimize staffing, capacity planning, and queue management
Analyze performance across 3P vendors and internal teams, ensuring SLA adherence and quality standards
Drive forecasting models to balance cost, coverage, and service levels across high-volume workflows
Cross-Functional Execution
Partner with Product and Engineering to translate operational insights into tooling and workflow improvements
Collaborate with Policy and Legal to ensure enforcement decisions are measurable, auditable, and compliant
Support high-severity incidents and “war room” analytics, providing real-time insights during escalations
Scaling Analytics & Decision Systems
Build self-service analytics tools enabling Ops leaders to monitor performance and run scenario analyses independently
Standardize metrics, taxonomies, and reporting across workflows to create a consistent “source of truth” for operations
Drive adoption of data-driven decision-making across global Trust & Safety teams
Proven ability to:
Design KPI’s and operational metrics
Translate ambiguous problems into structured analytical frameworks
Influence cross-functional stakeholders (Ops, Product, Policy, Finance)
Drive measurable improvements in quality, efficiency, and cost
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
Background in Trust & Safety, Integrity, Fraud, or Risk operations
Familiarity with real-time decision engines, and anomaly-detection frameworks
Experience leading hybrid teams (onsite/remote) and managing third-party analytics vendors
Statistics or quantitative graduate degree (MS/PhD)
Experience with:
Workforce planning & forecasting
Experimentation platforms
Real-time operations analytics
This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.
Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.
We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process.
We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.
Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
Pay Range
$212,000—$265,000 USD
