Senior Manager, Advanced Analytics, Fraud & Safety Operations

Sr Manager, Advanced Analytics, FSI

Airbnb

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. The Community You Will Join:  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. The Difference You Will Make: 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. A Typical Day:  * 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 Your Expertise: * 8+ years of experience in analytics, risk, or safety; 5+ years leading high-performing teams. * Proven ownership of large-scale data products or taxonomies in a regulated environment. * Experience supporting large-scale human operations (content moderation, fraud review, support, or risk ops) Strong SQL & data-modeling expertise; experimentation design, working knowledge of Python/R, ML pipelines. * 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  Preferred Experience * 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 Your Location: 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. Our Commitment To Inclusion & Belonging: 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. How We'll Take Care of You: 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

Lead, Advanced Analytics, Payments

Airbnb

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. The Community You Will Join We are seeking a highly skilled and experienced professional to join our team as the Payments Insights Analytics Lead. In this role, you will play a critical part in executing the strategic direction of Airbnb's Payments operations. Within this role, you will enable, facilitate, and assist in streamlining integrated data-driven decision making across the Payments Platform, Product, Operations organizations. The team is committed to operational excellence and Host and Guest experience through a culture of problem-solving, guided by data and research. We inject quantitative measurements into our user journey, product, processes and implement objective indicators of success. You will collaborate in the development and implementation of policies and procedures related to receiving and processing funds. Oversee the day to day operations in partnership with finance across collection, reconciliation and settlement (e.g., timely processing of payments motioning systems for issues). Collaboration will be a key aspect of this role, as you will work closely with cross-functional teams to drive process improvements and streamline payments data globally. Your ability to effectively communicate and build relationships with stakeholders at all levels of the organization will be essential in achieving our goals. The Difference You Will Make * You are passionate about solving complex problems within the Payments domain using data, insights, AI/ML models, and experimentation; adding a new perspective to existing solutions and making business decisions based on careful and thoughtful analysis * You are highly proficient in building and analyzing analytical frameworks, statistical models and experimentation methods to establish and communicate causal relationships and drive measurable impact. * You are a storyteller and technician that translates deeply technical analyses, and experimental results into compelling narratives that drive strategic business influence * Ability to create impact for key  projects at the eTeam direct level by iInfluencing strategy and roadmap through data-backed storytelling and actionable recommendations. A Typical Day * Generating payment reports and analyzing payment data for insights and performance evaluation * Provide regular updates and reports to management and stakeholders, translating complex technical findings into business-friendly narratives and recommendations for leadership. * Assist with analyzing payment performance and health, triaging the issue, and provide recommendation on the best course solution and optimization * Design, execute, and analyze experiments to evaluate the impact of Payment strategies, product changes, and process improvements.  * You will collaborate on Financial Risk Management including losses, chargebacks and other cost components, and automation of payments processes * Assist with initiatives to optimize the end-to-end payments journey by identifying pain points, friction areas, and improvement opportunities * Collaborate with driving Host and Guest advocacy to enhance payment experience, amplifying voices and addressing concerns with impactful and measurable results * Assist with building new payment strategies to balance financial risk and experience for different seller segments by utilizing advanced data analytics, AI/ML techniques to inform strategic decision-making * Leverage experience across adjacent payment risk domains (trust & safety, identity, fraud, compliance) to bring cross-functional insights and identify systemic patterns or opportunities. * Stay abreast of industry trends, emerging technologies, and regulatory changes in the payments landscape. Proactively identify opportunities for innovation * Monitor payment trends, identify areas for improvement and implement strategies to optimize payments processing.  * Provide guidance to platform to maintain a robust and reliable payments infrastructure, contributing to the overall financial health of the business  Your Expertise * 8+ years of industry experience in business analytics and a degree (Masters or PhD is a plus) in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research). * Have experience supporting Payments teams and/or have worked closely with payments organizations, with demonstrated exposure to multiple payment risk domains such as trust & safety, identity verification, fraud prevention, chargebacks, regulatory compliance, and financial risk management. * Expert skills in SQL and expert in at least one programming language for data analysis (Python or R).  * Experience with non-experimental causal inference methods, experimentation and machine learning techniques, ideally in a multi-sided platform setting * Working knowledge of schema design and high-dimensional data modeling (ETL framework like Airflow) * Exceptional communication and storytelling skills, you can distill highly technical work (model outputs, experimental results, complex data analyses) into clear, actionable insights for senior leadership and business stakeholders. * Ability to work under conditions of ambiguity in a fast-growth, sometimes uncertain and complex environment - comfortable acting with minimal planning, direction, and supervision. You can identify issues both within and outside of your immediate scope, and propose solutions. Your Location: 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. Our Commitment To Inclusion & Belonging: 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. How We'll Take Care of You: 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 $164,000—$191,000 USD

Senior Analyst Advanced Analytics

Airbnb

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. The Community You Will Join:  We are looking for a Senior Analyst, Advanced Analytics  role to help Airbnb unlock the next generation of hosts by normalizing and expanding hosting in Multifamily buildings. This role will sit under the Airbnb for RealEstate (A4RE) team and support our  Product and Business Operations teams. The Difference You Will Make: * Data thought partner to product and business leaders, providing insights, recommendations, and enabling data-driven decisions. * Contribute towards advancing the Analytics and Data Science disciplines at Airbnb, including driving data best practices, building new data tools and data sets, expanding data education around the company and mentoring and developing other team members. A Typical Day:  * Drive day to day analytics and create scalable data tools: * Architect, build, and launch efficient & reliable new data models and pipelines in partnership with Data Engineering * Design, define, and implement metrics and dimensions to enable analysis * Continue to enhance our understanding and measurement of the tools used by our partners, with a focus on driving higher host activation within partner buildings. * Work closely with Data Engineers, Analytics Engineers, Data Scientists  and other cross functional teams to build a scalable and unified attribution and measurement platform for understanding impact of product, sales and marketing efforts. * Collaborate closely with Business Leads to design, implement, and assess offline experiments, including A/B tests and other quasi-experimental techniques.  * Empower the team to answer data questions quickly and easily by building high-quality ground truth data sets and dashboards. Collaborate with Data Engineering to build data tools for mass consumptions within the A4RE team Your Expertise: * 5+ years in industry experience and a degree in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research). * Expert communication and collaboration skills with the ability to work effectively with internal teams in a cross-cultural and cross-functional environment. Ability to conduct rigorous statistical analysis to inform business decision and communicate conclusions to both technical and non-technical audiences * Experience partnering with internal teams to drive action and providing expertise and direction on analytics, experimental design, and measurement * Experience designing and building metrics, from conception to building prototypes with data pipelines * Strong knowledge in SQL and distributed system optimization (e.g. Spark, Presto, Hive)  * Expert in at least one programming language for data analysis (e.g. Python, R) * Experience with Tableau strongly preferred Your Location: 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. Our Commitment To Inclusion & Belonging: 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. How We'll Take Care of You: 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 $136,000—$160,000 USD