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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: You will join the Guest and Host Data Science organization, which powers products and data-driven decisions over Airbnb’s marketplace of Guest and Hosts. You will join a collaborative team of data scientists, analysts, engineers, product managers and designers who build, launch and iterate on our product roadmap to drive growth and deeper sophistication through experimentation, modeling, foundational tools and insights. Our work is core to ensuring that Airbnb’s strategy roadmap stays highly relevant for our users while supporting the long-term health of our marketplace. We work directly with decision makers in engineering and product to develop data-driven frameworks, technical solutions, evaluate product changes and guide the company through rigorous measurement and modeling. The Difference You Will Make: Under this general application, you will be considered for applications over several tracks. Growth Product Data Science Partner directly on growth initiatives to build, ship, measure incrementality of bookings/attach rate/revenue, and optimize 0-to-1 customer-facing features Thought partnership with Product to define strategy, sequence iteration, scale impact via science frameworks and as the go-to tech lead around data, experimentation, and domain understanding Build observational causal inference models to deeply understand guest intent, identify underlying mechanisms, and build data products to measure impact, and inform feature objectives and tradeoffs Champion AI-enabled Product Understanding, to scale data-driven frameworks, robust measurement, and compelling storytelling of data learnings to guide recommendations and roadmaps with senior leaders Pricing Data Science Develop a pricing guidance system for hosts as well as experimental and observational methods to measure the impact of pricing feature launches. Collaborate with product and cross-functional teams to pioneer pricing strategies and translate advanced modeling into actionable recommendations Develop foundational models and experimental approaches that balance supply and demand in the marketplace, leveraging empirical methods to assess and iterate on pricing feature impact Craft compelling data narratives to surface actionable insights, empower data-driven decision making and influence the future direction of Airbnb’s pricing ecosystem Marketplace Optimization and Ranking Develop models and analytic frameworks that improve listing ranking and recommendation. This includes incorporating marketplace dynamics such as listing availability, supply quality, and long-term ecosystem health into ranking decisions. Partner closely with Machine Learning Engineers and Product to launch high-impact search improvements. Design experiments and evaluation frameworks to understand the impact of search and AI-driven product improvements. Build scalable data products and modeling pipelines that power ranking features, query understanding, and personalization. Your work will help enable the next generation of AI-powered search experiences at Airbnb Connect marketplace thinking, modeling, and experimentation across teams and set the technical direction for modeling and experimentation in search, ranking and personalization. The ideal candidate will be curious, optimistic, and relentless at leading innovation in using AI tools to scale experimentation and data-driven decisions, development of domain-relevant input metrics, and continuous understanding of tradeoffs and end-to-end guest product journeys. You will hold a high bar for customer experience and a strong desire to accurately understand user behavior and drive business growth over both Homes and non-Homes verticals. Your expertise: Causal inference expertise. Experience with machine learning techniques in a marketplace product setting 9+ years of relevant industry experience and a Master’s degree or PhD in a quantitative field Strong coding skills in SQL and either Python or R. Comfort with building proof-of-concept prototypes. Passionate about AI and possessing a learner’s attitude. Proven ability to be driven and succeed in collaborative environments with cross-functional stakeholders and also in independent work settings. Ability to autonomously set a roadmap for business impact. Proven ability to communicate clearly and effectively to audiences of varying technical levels 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. Equal Employment Opportunity: Airbnb values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Airbnb are considered without regard to race, color, religion, national origin, age, gender, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, gender expression, sexual orientation, or any other legally protected characteristic. 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 $200,000 — $242,000 USD Reasonable Accommodations: We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role. A Note on Recruiting Scams: Scammers sometimes pose as Airbnb recruiters to get money or personal information from candidates. A few things that will always be true for Airbnb’s hiring process: our open roles are posted on Airbnb’s Career’s Page at careers.airbnb.com, and our recruiters correspond only from @ airbnb.com or @ ext.airbnb.com email addresses. Our recruiters will never ask for your Social Security number, bank account details, passport, or payment app information while you are interviewing. We’ll also never ask you to pay a fee, send money, deposit or cash a check, or purchase work-related equipment (such as a company laptop) during the interview process. We encourage candidates to remain vigilant of these recruiting scams and not share sensitive information if you do not believe an individual is actually affiliated with 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: Machine Learning and Artificial Intelligence are at the heart of the Airbnb product. From Trust to Payments, and from Customer Service to Marketing we rely on ML to ensure that guests and hosts have the best possible experience with Airbnb. The Assistance Engineering Machine Learning team is the core team responsible for driving CSxAI (Customer Support x Artificial Intelligence) initiatives by adopting the Generative AI technologies to enable an intelligent, scalable and exceptional service experience. The team develops and enhances various AI models, ML services and tools including LLM fine-tuning and optimization, RAG/Search, LLM evaluation and testing automation, feedback-based learning and guardrail for a wide range of applications in Airbnb. The richness of Airbnb's data, the complexity of its marketplace and the variety innate in our product mean that we need to operate at the state of the art of AI practice. We are committed to investing in long term innovation to solve the complex problems we face, and to do that we need the very best experts in ML and AI to join us. The Difference You Will Make: We believe our current customer experiences in these domains are only scratching the surface of the innovations that are possible, and that science is at the heart of delivering a step-function change for our Guest and and Host on Airbnb. You will build and leverage cutting edge AI technologies to transform Airbnb’s customer service by delivering personalized, easy-to-use and proactive customer service experience. Many of the initiatives you’ll tackle are in their early conceptual stages. You will have the opportunity to shape these ideas from inception to production, turning visionary concepts into impactful realities. A Typical Day: Envision, champion, and support the development of novel ML systems, product integrations, and performance optimizations to solve real-world problems Work cross-functionally with product, design, and other engineering counterparts to design and build efficient AI solutions for Airbnb CS products Learn and share the latest AI/ML technologies with the team. Your Expertise: PhD/Master’s degree, preferably in CS, or equivalent experience 9+ years of ML engineering experience, with ownership responsibility over large-scale software systems Background in the design and development of AI and ML systems and services, and a deep passion for building efficient and scalable ML-powered products Experience with LLM driven chatbot and Agentic AI products would be a big plus Excellent communication skills and the ability to work well within a team and with teams across the engineering, product & design organizations 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. Equal Employment Opportunity : Airbnb values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Airbnb are considered without regard to race, color, religion, national origin, age, gender, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, gender expression, sexual orientation, or any other legally protected characteristic. 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 — $260,000 USD Reasonable Accommodations: We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role. A Note on Recruiting Scams: Scammers sometimes pose as Airbnb recruiters to get money or personal information from candidates. A few things that will always be true for Airbnb’s hiring process: our open roles are posted on Airbnb’s Career’s Page at careers.airbnb.com, and our recruiters correspond only from @ airbnb.com or @ ext.airbnb.com email addresses. Our recruiters will never ask for your Social Security number, bank account details, passport, or payment app information while you are interviewing. We’ll also never ask you to pay a fee, send money, deposit or cash a check, or purchase work-related equipment (such as a company laptop) during the interview process. We encourage candidates to remain vigilant of these recruiting scams and not share sensitive information if you do not believe an individual is actually affiliated with 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: Our web and API surfaces handle requests from guests and hosts alongside a growing volume of automated agents: AI assistants, crawlers, and scrapers. We build the systems that bring clarity to this traffic, combining in-house ML and vendor signals to decide in real time how to serve billions of daily requests. Anti-bot and anti-scraping detection is our most adversarial mandate, but the wider challenge is full traffic classification: building evaluation frameworks that tell legitimate automation apart from abusive actors, so high-stakes decisions hold up across the fleet. The Difference You Will Make: You will architect and maintain Airbnb’s end-to-end traffic classification ML systems, balancing high-performance model deployment with rigorous offline data pipelines. Success is measured by your ability to harden edge-traffic policies—targeting reduced bot-incident MTTM—and by establishing rigorous evaluation practices that ensure foundational signal accuracy and evasion-resistance across the fleet. A Typical Day: Own the complete lifecycle of traffic-scoring models, from problem framing to real-time deployment, managing the adversarial feedback loop to ensure high evasion-resistance and directly drive reductions in bot-incident MTTM. Architect robust offline-to-online pipelines that produce certified source-of-truth datasets, establishing rigorous evaluation frameworks—such as stratified benchmarks and leakage-prevention checks—to ensure every model improvement is empirically measurable and defensible. Execute model optimization within strict millisecond latency budgets at the internet edge, uniquely balancing inference costs against incremental value while maintaining fleet-wide fail-open behaviors. Partner daily with security analysts, data platform engineers, and international infrastructure partners to integrate scoring intelligence into automated mitigation workflows, ensuring global consistency in traffic classification despite regional failovers or CDN updates. Serve as the team’s machine learning authority, communicating complex model trade-offs to leadership and cross-functional teams to translate technical research into practical, scalable engineering guidance. Your Expertise: 9+ years of applied experience in production ML, specifically within non-stationary, adversarial domains (e.g., traffic integrity, bot mitigation, or fraud) where you have managed the feedback loop against adaptive actors. Demonstrated experience architecting scalable, offline-to-online data pipelines that produce certified source-of-truth datasets for low-latency inference systems. Strong foundation in rigorous model evaluation, including metrics like ROC/AUC, precision/recall, and calibration, with an ability to communicate complex trade-offs to cross-functional stakeholders. Experience with large-scale data engineering (warehouse-scale SQL) and feature engineering on high-volume event streams to build reliable, production-ready modeling pipelines. Practical knowledge of internet edge infrastructure (e.g., CDN/load balancer behavior, HTTP/TLS signatures) and their role in verifying foundational signals. Proven track record of cross-functional leadership, landing initiatives through shared datasets and consumer contracts while mentoring junior engineers on technical quality and design practices. MS/PhD in a quantitative field (e.g., Statistics, ML) or equivalent deep engineering experience, with significant ownership of large-scale systems measuring evasion-resistance. Preferred: PhD in Statistics, Mathematics, Machine Learning, or a related quantitative discipline. Advanced expertise in graph-based coordination or Sybil network detection methods for complex, distributed system analysis. Deep experience with causal or econometric methods to model the business impact of false positives on legitimate user traffic. Experience implementing Bayesian calibration techniques for handling adversarially-biased, sparse, or imbalanced datasets. Familiarity with data governance practices and platform engineering, specifically managing the lifecycle of certified datasets and downstream consumer contracts. Exposure to LLM agent tooling and benchmarking, with a focus on optimizing inference costs against latency and value trade-offs. 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. Equal Employment Opportunity : Airbnb values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Airbnb are considered without regard to race, color, religion, national origin, age, gender, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, gender expression, sexual orientation, or any other legally protected characteristic. 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 Reasonable Accommodations: We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role. A Note on Recruiting Scams: Scammers sometimes pose as Airbnb recruiters to get money or personal information from candidates. A few things that will always be true for Airbnb’s hiring process: our open roles are posted on Airbnb’s Career’s Page at careers.airbnb.com, and our recruiters correspond only from @ airbnb.com or @ ext.airbnb.com email addresses. Our recruiters will never ask for your Social Security number, bank account details, passport, or payment app information while you are interviewing. We’ll also never ask you to pay a fee, send money, deposit or cash a check, or purchase work-related equipment (such as a company laptop) during the interview process. We encourage candidates to remain vigilant of these recruiting scams and not share sensitive information if you do not believe an individual is actually affiliated with 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: Data represents the voice of Airbnb’s users at scale. The Data Warehouse Infrastructure team is responsible for the foundational big data infrastructure, which is used by hundreds of engineers to collect, manage, and analyze data at scale. We are using open source technologies like Hadoop, Spark, Trino, Iceberg, Airflow etc. A Typical Day: Design and build the next generation big data compute platform to empower data ETL, analytics and machine learning at Airbnb Operate, manage and improve the reliability, performance, observability and cost efficiency of the platform. Write maintainable and self-documenting code, perform code reviews. Work on, and contribute to open source software, and have industry impact. Your Expertise: BS/MS/PhD in Computer Science, a related field, or equivalent work experience preferred. 10+ years of experience working with data infrastructure, with a focus on big data technologies. Proficiency in big data technologies such as Spark, Presto/ Trino, Kubernates. Strong programming skills in languages such as Java, Scala. Extensive experience in designing, building, and maintaining scalable, fault-tolerant distributed systems. Demonstrated expertise in multi-threading and concurrency programming. Familiar with database systems, both SQL and NoSQL. Proven ability to collaborate with other teams to define system requirements, identify potential solutions, and test and integrate systems. Capacity to troubleshoot and resolve complex data infrastructure problems. Strong communication skills, both written and verbal. Ability to work effectively in a team environment. 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. Equal Employment Opportunity : Airbnb values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Airbnb are considered without regard to race, color, religion, national origin, age, gender, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, gender expression, sexual orientation, or any other legally protected characteristic. 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 Reasonable Accommodations: We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role. A Note on Recruiting Scams: Scammers sometimes pose as Airbnb recruiters to get money or personal information from candidates. A few things that will always be true for Airbnb’s hiring process: our open roles are posted on Airbnb’s Career’s Page at careers.airbnb.com, and our recruiters correspond only from @ airbnb.com or @ ext.airbnb.com email addresses. Our recruiters will never ask for your Social Security number, bank account details, passport, or payment app information while you are interviewing. We’ll also never ask you to pay a fee, send money, deposit or cash a check, or purchase work-related equipment (such as a company laptop) during the interview process. We encourage candidates to remain vigilant of these recruiting scams and not share sensitive information if you do not believe an individual is actually affiliated with 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: Passport & Commerce builds the trusted account and commerce foundation that lets anyone, anywhere, become part of the Airbnb community — from their first sign-up, through the profile and connections they build, to every booking and business transaction along the way. We're a newly formed org within Guest & Host that brings together identity, account, and commerce foundations under one roof. Our mission is to move Airbnb beyond the transaction — building a world where accounts create trust, value sticks, and what our community earns travels with them, and their businesses, wherever they go. You'll work closely with Payments and Wallet engineering, Identity & Privacy, Profile & Community, and Guest & Host product, design, and data science partners as we stand up this team's roadmap and technical foundations. The Difference You Will Make: As a Staff Software Engineer on the Passport team, you will be a key architect behind the next generation of our account platform, directly influencing how millions of guests and hosts experience Airbnb. You'll set technical direction for how account state, eligibility, and entitlements are computed, stored, and served at scale across every surface where a guest or host interacts with Airbnb. Success in this role looks like a Passport platform that is reliable and extensible enough to support new programs and partner integrations without re-architecture — measured through service reliability (uptime, latency, correctness of entitlement calculations), the speed at which new offerings can launch, and adoption of your platform by other teams across Airbnb. A Typical Day: Design and evolve the core services and data models that track account state, eligibility, and entitlements across millions of accounts Partner with product and design to translate new product concepts into scalable, extensible technical designs Collaborate with Payments and Wallet engineering to ensure credits, discounts, and host-funded programs settle correctly end-to-end Set technical direction and lead design reviews across a growing team, mentoring engineers and raising the bar on system design Drive cross-team architecture decisions with Identity & Privacy and Profile & Community teams to keep account state consistent with Airbnb's broader Passport model Identify and resolve reliability, scalability, and data-integrity risks before they affect guests or hosts Your Expertise: 9+ years of experience designing and scaling complex, distributed backend systems, with a proven track record of technical leadership in high-growth environments A track record as a technical leader who has set architecture direction for a team or domain — not only delivered individual features Deep expertise in distributed systems fundamentals, including data consistency, caching, service decomposition, and API design at scale Experience building or operating systems involving financial transactions, entitlements, or other stateful account data is strongly preferred Experience mentoring senior engineers and influencing technical decisions across multiple teams Comfort operating with ambiguity on a newly formed team, including helping define team scope, roadmap, and technical foundations Strong written and verbal communication skills, with experience driving alignment across engineering, product, and design partners 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. Equal Employment Opportunity : Airbnb values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Airbnb are considered without regard to race, color, religion, national origin, age, gender, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, gender expression, sexual orientation, or any other legally protected characteristic. 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 Reasonable Accommodations: We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role. A Note on Recruiting Scams: Scammers sometimes pose as Airbnb recruiters to get money or personal information from candidates. A few things that will always be true for Airbnb’s hiring process: our open roles are posted on Airbnb’s Career’s Page at careers.airbnb.com, and our recruiters correspond only from @ airbnb.com or @ ext.airbnb.com email addresses. Our recruiters will never ask for your Social Security number, bank account details, passport, or payment app information while you are interviewing. We’ll also never ask you to pay a fee, send money, deposit or cash a check, or purchase work-related equipment (such as a company laptop) during the interview process. We encourage candidates to remain vigilant of these recruiting scams and not share sensitive information if you do not believe an individual is actually affiliated with 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: The Online Data organization ensures Airbnb customers are delighted in experiences backed by real-time data. We empower Airbnb’s builders to create these experiences by offering intuitive data interfaces and tools without the need to be database experts. The Difference You Will Make: We’re hiring across multiple teams within our organization. Explore the section below to learn more about each team and the opportunities available. The KV Stores & Caching team within Airbnb's Online Data org owns and operates critical pieces of Airbnb's online serving storage systems. Specifically, the team owns and is responsible for: A highly available, low-latency, distributed, multi-tenant KV store for Airbnb. This platform is used by user profiling, Search, ML, and pricing teams, supporting millions of read QPS and providing 99.9+% availability across thousands of customer tables. A set of control planes and clients that manage ElasticCache clusters for hundreds of Airbnb production clusters, at million+ IOPS and million+ indexing QPS. A scalable, reliable, performant distributed coordination service supporting many mission-critical systems (MySQL, Redis, Kafka, Flink, Druid, Zookeeper, etc). The mission of the Ingestion team in the Online Database Infrastructure org is to provide a managed, reliable, performant and scalable platform for exporting data out of Airbnb’s online databases for asynchronous processing. The team currently builds and operates two managed solutions - one for near real time access to change logs (CDC) and another to provide periodic mutation and full table snapshots. As a member of this team you would be working with talented engineers on cutting edge technologies to help support Airbnb’s business. You will be the resident expert on the online data exports platform and guide and collaborate with our internal product teams to effectively use the platform. Lead a team of developers to deliver multi-quarter cross functional projects. Stay up-to-date with the latest developments in data ingestion systems and evaluate and incorporate new technologies and methodologies to improve the existing data ingestion architecture/solution. Influence the team’s and organization’s long-term roadmap and strategy. Mentor and coach team members, providing guidance and support to enhance their skills and technical standards in the team. Raise operational standards by effectively and proactively identifying, debugging and fixing operational issues. Be part of the oncall rotation for the Ingestion team. Your Expertise: 9+ years of relevant industry experience Proven track record of leading and mentoring engineering teams, setting technical direction, and growing engineers in their careers. Deep expertise in distributed systems, multi-tenant storage, and infrastructure. You've architected and scaled high-performance, business-critical systems. Demonstrated ability to collaborate and influence across teams and organizations, building alignment on technical strategy. Strong judgment on technical trade-offs and ability to drive decisions that balance short-term delivery with long-term maintainability. Experience onboarding to and navigating a broad and complex codebase, and enabling others to do the same. 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. Equal Employment Opportunity : Airbnb values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Airbnb are considered without regard to race, color, religion, national origin, age, gender, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, gender expression, sexual orientation, or any other legally protected characteristic. 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 $204,000 — $255,000 USD Reasonable Accommodations: We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role. A Note on Recruiting Scams: Scammers sometimes pose as Airbnb recruiters to get money or personal information from candidates. A few things that will always be true for Airbnb’s hiring process: our open roles are posted on Airbnb’s Career’s Page at careers.airbnb.com, and our recruiters correspond only from @ airbnb.com or @ ext.airbnb.com email addresses. Our recruiters will never ask for your Social Security number, bank account details, passport, or payment app information while you are interviewing. We’ll also never ask you to pay a fee, send money, deposit or cash a check, or purchase work-related equipment (such as a company laptop) during the interview process. We encourage candidates to remain vigilant of these recruiting scams and not share sensitive information if you do not believe an individual is actually affiliated with 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 AirSupport is Airbnb’s global IT Support organization, focused on helping employees stay productive and get the technology support they need. Our goal isn’t simply to handle tickets better — it’s to make more of them unnecessary. We’re transforming the employee support experience by using data, AI, and automation to remove friction, enable seamless self-service, and deliver high-fidelity human support when it’s needed. You will join the team responsible for shaping the IT self-service experience, working closely with partners across Product, Engineering, Knowledge, and our global IT Support organization. The Difference You Will Make We are looking for a Business Systems Engineer within IT Support, focused on the design and delivery of capabilities that improve how employees get technology help. You will bring a deep understanding of IT Support workflows, employee journeys, operational signals, and business needs to our partnerships with Product, Engineering, and other technology teams, turning them into clear requirements and effective solutions. Your initial focus will be advancing the next generation of AI-enabled and conversational self-service for IT support use cases . You will own the definition of requirements and success criteria for your areas of responsibility, working directly with the teams responsible for broader enterprise AI capabilities to ensure IT Support needs are understood and effectively delivered. We are looking for someone who can move comfortably between strategy and execution — someone who asks why, challenges assumptions, understands system dependencies, and brings clarity to ambiguous problems. A Typical Day Own defined IT self-service features and delivery workstreams, translating business needs into requirements and driving them through design, testing, launch, and ongoing improvement. Translate IT Support strategy and priorities into functional and technical requirements, user stories, process flows, acceptance criteria, and implementation plans. Work directly with Product, Engineering, and business stakeholders to align on requirements, solution design, delivery timelines, testing, and readiness for changes within your area of ownership. Analyze potential self-service use cases and recommend improvements based on employee impact, operational needs, available data, and technical considerations. Apply practical AI and conversational technology expertise to evaluate self-service experiences for accuracy, failure patterns, and appropriate escalation or handoff to human support. Define and monitor success measures for the capabilities you support, using product data, employee feedback, and operational signals to identify opportunities for optimization. Develop a strong understanding of the systems supporting the IT self-service experience, including integrations, APIs, data flows, identity and permissions, automation, and platform dependencies; identify risks, interdependencies, and relevant security and privacy considerations, and partner with technical teams on appropriate solutions. Partner with the Strategic Knowledge program to ensure self-service solutions effectively leverage the knowledge ecosystem and account for the dependencies needed to deliver accurate, useful employee experiences. Identify patterns across unsuccessful or incomplete self-service interactions and recommend improvements across product functionality, processes, workflows, or knowledge. Independently create clear functional and technical artifacts that support effective delivery, including requirements, solution designs, process flows, test plans, and decision documentation. Build strong relationships across technical and non-technical partners, manage expectations, surface risks or roadblocks, and collaborate across our global IT Support organization to deliver consistent experiences. Your Expertise 7+ years of professional experience in business systems analysis, technical product delivery, systems engineering, solution design, IT consulting, product operations, or a related technology role. 2+ years of direct experience delivering AI-enabled or conversational experiences in an enterprise environment, including Generative AI, virtual agents or chatbots, intelligent agents, AI-enabled automation, or comparable technologies. Demonstrated experience owning meaningful features or workstreams within cross-functional technology initiatives, including requirements, design, testing, implementation, and continuous improvement. Experience translating complex business needs into clear functional and technical requirements and creating artifacts that enable Product and Engineering teams to execute effectively. Strong systems thinking and technical fluency, with the ability to understand integrations, APIs, data flows, identity and permissions, automation, and application dependencies, and contribute effectively to solution design and implementation. Experience working in enterprise IT, employee technology, IT service management, or a comparable internal business-systems environment, with a strong understanding of business processes, enterprise workflows, service-management platforms, and integrated systems. Experience with enterprise self-service, knowledge, search, retrieval, or content-management capabilities and an understanding of how knowledge quality, structure, and access affect AI-enabled and self-service experiences. Strong analytical and problem-solving skills, with the ability to identify patterns, understand root causes, evaluate options, and make well-supported recommendations within your area of ownership. Proven ability to build trust, manage expectations, and drive alignment across Product, Engineering, Operations, and business stakeholders, including across distributed or global teams. Excellent written and verbal communication skills, with the ability to independently create clear, actionable functional and technical documentation. Your Location: [ Remote- USA, with a preference for candidates located in the San Francisco Bay Area] 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 $123,000 — $145,000 USD Reasonable Accommodations: We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role. A Note on Recruiting Scams: Scammers sometimes pose as Airbnb recruiters to get money or personal information from candidates. A few things that will always be true for Airbnb’s hiring process: our open roles are posted on Airbnb’s Career’s Page at careers.airbnb.com, and our recruiters correspond only from @ airbnb.com or @ ext.airbnb.com email addresses. Our recruiters will never ask for your Social Security number, bank account details, passport, or payment app information while you are interviewing. We’ll also never ask you to pay a fee, send money, deposit or cash a check, or purchase work-related equipment (such as a company laptop) during the interview process. We encourage candidates to remain vigilant of these recruiting scams and not share sensitive information if you do not believe an individual is actually affiliated with 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: The Unified Data Store (UDS) team is the architect of Airbnb’s global system-of-record. We design, build, and operate the mission-critical storage platform that powers every user profile, listing, reservation, and financial transaction on the platform. Supporting over 150 million users worldwide, our work is the bedrock of Airbnb’s reliability and efficiency. As a Staff Engineer in our Brazil Engineering Hub , you will join a high-impact group of technical leaders who value craft and operational excellence. You won't just be managing data; you will be building a modern distributed infrastructure service that enables hundreds of product teams to ship features with total confidence. The Difference You Will Make: We are looking for a hands-on technical leader who thrives on solving deep architectural challenges and leading through ambiguity. As a Staff Engineer, you will serve as the Technical North Star for the UDS Client Stack, ensuring our data access layer is seamless, high-performance, and future-proof. A Typical Day: Define Technical Strategy: Lead the multi-year roadmap and long-term architecture for the UDS client stack, balancing immediate execution with systemic platform evolution. Architect for Scale: Design and operate a high-performance data access layer that abstracts complexities like indexing, replication, and global consistency models. Drive Engineering Excellence: Lead deep-dive design reviews and establish best practices for building fault-tolerant distributed systems across the organization. Empower Developers: Act as a bridge between infrastructure and product, creating a unified interface that simplifies how engineers interact with complex data systems. Collaborate Globally: Partner with UDS and Data Infrastructure teams globally to align architecture, drive adoption, and deliver high-impact solutions. Your Expertise: Experience: 9+ years of relevant industry experience, with a proven track record of operating at a Senior or Staff level in a high-growth environment. Distributed Systems Mastery: Deep expertise in large-scale distributed systems, including storage internals, networking, and consistency models. Technical Leadership: Demonstrated ability to lead complex technical initiatives, influence architectural decisions across multiple teams, and mentor senior talent. Platform Mindset: A passion for building high-performance infrastructure services that prioritize developer experience and system reliability at scale. Communication: Exceptional ability to articulate complex infrastructure challenges to both technical partners and internal customers. Innovation: A strong interest in leveraging emerging technologies, including Applied AI, to optimize data management and system observability. 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. Reasonable Accommodations: We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role. A Note on Recruiting Scams: Scammers sometimes pose as Airbnb recruiters to get money or personal information from candidates. A few things that will always be true for Airbnb’s hiring process: our open roles are posted on Airbnb’s Career’s Page at careers.airbnb.com, and our recruiters correspond only from @ airbnb.com or @ ext.airbnb.com email addresses. Our recruiters will never ask for your Social Security number, bank account details, passport, or payment app information while you are interviewing. We’ll also never ask you to pay a fee, send money, deposit or cash a check, or purchase work-related equipment (such as a company laptop) during the interview process. We encourage candidates to remain vigilant of these recruiting scams and not share sensitive information if you do not believe an individual is actually affiliated with Airbnb.