Jobs at Airbnb

Lead product analytics for Guest or Host App: analyze large datasets, design and evaluate experiments, build metrics and reporting tools, apply statistical and causal methods, partner cross-functionally, present insights to stakeholders, and leverage AI to automate tasks.

Lead end-to-end mixed-methods UX research for payments growth: design and run qualitative and quantitative studies, perform statistical analysis and surveys, synthesize insights, influence product and executive stakeholders, and facilitate workshops to drive payments product strategy and improvements.

Lead end-to-end mixed-methods research for 0-to-1 incubation efforts: frame questions, run qualitative and quantitative studies, triangulate data, deliver actionable insights, influence senior stakeholders, and translate findings into product strategy.

The role involves building analytics tools and frameworks to support Airbnb's international growth strategy, requiring deep data expertise and collaboration with various teams.

Lead strategy, planning, and execution to grow Airbnb Monthly Stays globally. Build tools and dashboards, analyze data, provide recommendations to leadership, manage analysts, coordinate cross-functional initiatives, and run scalable projects.

Partner with Community Support leadership to provide strategic financial analysis, build ROI and unit-economics frameworks, evaluate AI and support-model investments, drive forecasting and annual planning, support commercial negotiations, and translate data into executive recommendations across Product, Engineering, Finance, and Operations.

The Principal Machine Learning Engineer will fine-tune and optimize LLMs for various applications, develop AI products, and enhance ML infrastructure in collaboration with cross-functional teams.

Build, evaluate, and deploy LLM/ML models and synthetic datasets to improve Community Support. Identify opportunities via data exploration, analyze structured and unstructured data, automate LLM evaluation, personalize experiences, and collaborate cross-functionally to drive product and operational impact.

Build and productionize large-scale ML models and pipelines for query understanding and personalization. Work on autocomplete, query tagging/NER, query expansion, intent modeling, and LLM-powered natural-language search. Collaborate cross-functionally to design, deploy, and monitor batch and real-time systems, leveraging modern ML infrastructure and tooling to improve search relevance across Airbnb products.

Design and evaluate causal inference experiments and causal ML models to measure product impact, optimize resource allocation, and inform support operations. Build, deploy, and iterate statistical/ML models, analyze tradeoffs, collaborate cross-functionally, and communicate insights to influence decisions and scale data science capabilities.

As a Senior Staff Engineer, you will lead technical vision and architectural direction for Payments Compliance, ensuring scalable and cohesive compliance systems while partnering with cross-functional teams to navigate regulatory requirements.

As a Senior Staff Machine Learning Engineer, you will drive AI product development, collaborate with cross-functional teams, and enhance ML models at scale.

Lead product strategy and roadmap for the end-to-end dispute lifecycle (chargebacks, representments, pre-arbitration, prevention). Partner with engineering, data science, analytics, operations, and partners to build decisioning, scaling infrastructure, proactive prevention, and enforcement programs to reduce losses while protecting community trust and expanding coverage across payment methods and geographies.

Lead global launch and scaling of new travel-adjacent service categories by developing end-to-end program plans, coordinating cross-functional teams, performing SQL-based analytics and financial modeling, defining KPIs, sourcing supply strategies, and building operational processes to enable rapid, scalable growth.

Lead technical vision and full-stack development for a large-scale content platform and no-code tools. Build AI-driven, agentic systems, mentor engineers, conduct design reviews, and collaborate with product, design, and marketing to deliver scalable content solutions.

Lead product strategy for AI Personalization, developing AI systems for personalized customer support at Airbnb. Manage the full-stack systems, influence roadmap decisions, and collaborate across teams to optimize performance and user experience.

The role involves building and validating Marketing Mix Models and geo-experiments, managing measurement infrastructure, and communicating insights to stakeholders.

Own and evolve Community Support risk frameworks, AI risk governance, and the risk registry. Partner with Insider Threat investigations, drive root-cause remediation programs, produce executive risk reporting, and lead cross-functional risk alignment, training, and culture change.

Lead development and refinement of machine learning pricing models (especially reinforcement learning) for Airbnb hosts. Collaborate with data scientists, product, and engineers to design, test, integrate, and monitor models, analyze performance, and prioritize projects to improve host outcomes.

Lead Airbnbs global Host SEM program: define strategy and budget, run experiments across bidding/creatives/landing pages, partner cross-functionally, scale automation/AI, and report performance to senior leadership to drive efficient host acquisition and long-term supply growth.