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Airbnb, founded in 2007, has revolutionized the travel and hospitality industry by creating a platform that connects hosts with guests seeking unique and authentic experiences worldwide. Starting from a humble beginning with just two hosts welcoming three guests in San Francisco, Airbnb has grown exponentially to become a global community of over 5 million hosts and more than 2 billion guest arrivals across nearly every country. The company's mission is to foster a sense of belonging and community by offering diverse accommodations and experiences that enable meaningful connections between people. With a commitment to innovation, inclusivity, and customer satisfaction, Airbnb continues to expand its offerings and improve its platform to serve a global audience.
About The Role
The Staff Software Engineer, Experimentation Data at Airbnb plays a pivotal role within the Experimentation team, which is dedicated to providing a robust, insightful, and user-friendly experimentation platform. This platform supports A/B testing and other experimental methodologies critical for data-driven decision-making across the organization. As a key member of this multidisciplinary team, you will be responsible for developing and maintaining the core infrastructure that powers Airbnb’s results computation stack, including data pipelines, experimentation grammars, and analysis engines. Your expertise will help ensure the accuracy, reliability, and scalability of experiment results, enabling teams to derive meaningful insights from their tests. You will collaborate closely with data scientists, data engineers, and product teams to implement sophisticated statistical methodologies, optimize data processing pipelines, and enhance the overall experimentation infrastructure. This role offers an exciting opportunity to influence how Airbnb leverages data to innovate and improve customer experiences globally.
Qualifications
9+ years of hands-on experience in software engineering, with a proven track record of shipping high-quality code in production environments
Extensive experience with high-scale, distributed systems, data pipelines, and analytical libraries
Strong background in scientific and statistical computation, particularly related to online experimentation and A/B testing
Experience designing software with ergonomic interfaces tailored for technical data users like data scientists
Proficiency with big data technologies such as Spark, Dataflow, or similar frameworks
Deep SQL expertise, capable of debugging and optimizing complex queries
[Nice to have] Experience developing frameworks for generating large-scale data pipelines
[Nice to have] Familiarity with distributed stream processing frameworks such as Flink, Kafka, or Dataflow
Responsibilities
Design, build, maintain, and optimize large-scale data processing pipelines to support experimentation infrastructure
Contribute to Airbnb’s libraries for flexible, extensible, on-demand analysis of experiments
Collaborate with cross-functional teams to enhance the impact and usability of the experimentation platform across the organization
Participate in all phases of software development, including architecture, design, implementation, testing, and on-call support
Work closely with Data Science partners to integrate advanced statistical methodologies into the experimentation platform
Conduct experiment reviews to understand user interactions, identify areas for improvement, and facilitate feature rollouts
Ensure the reliability, scalability, and accuracy of results computation at Airbnb’s scale
Benefits
Competitive salary and performance-based bonuses
Comprehensive health, dental, and vision insurance plans
Generous paid time off and holiday leave
Flexible work arrangements, including remote work options
Opportunities for professional growth and development
Access to employee wellness programs and resources
Participation in Airbnb’s employee stock option plans and travel credits
Equal Opportunity
Airbnb is committed to fostering an inclusive and diverse workplace. We believe that a broad spectrum of perspectives and ideas drives innovation and better decision-making. We encourage all qualified individuals to apply, regardless of race, ethnicity, gender, age, disability, sexual orientation, or background. We also strive to provide a disability-inclusive application and interview process. We look forward to welcoming talented individuals who share our values and commitment to belonging.
Seniority level
Associate
Employment type
Full-time
Job function
Information Technology
Industries
Technology, Information and Internet
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