Airbnb-posted 3 months ago
$204,000 - $255,000/Yr
Full-time • Senior
5,001-10,000 employees

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. As part of the Application Platforms organization, the Data Frameworks team builds foundational data products that enable scalable, consistent, and performant access to application data across Airbnb. We serve a broad set of internal partners - including product engineering, machine learning, and infrastructure teams - by providing interfaces that bridge the gap between transactional and analytical data needs. Our work enables engineers and systems across Airbnb to model, transform, and serve data effectively through unified, intuitive frameworks.

  • Lead a team of software engineers building core data platform capabilities that power application-level use cases across Airbnb.
  • Define and execute on a multi-year vision to unify how derived data is produced, consumed, and served in online contexts.
  • Evolve and scale a suite of services, APIs, and data models that are central to our application and ML infrastructure.
  • Partner with engineering and product teams to standardize entity-based access patterns, improve data reliability, and reduce integration overhead.
  • Drive adoption of platform capabilities by collaborating closely with partner teams to deeply understand their use cases and deliver intuitive solutions.
  • Build and grow a healthy, high-performing team that emphasizes product thinking, technical depth, and developer empathy.
  • 9+ years of relevant software development industry experience with at least 3-5+ years of managing an engineering team in a fast paced tech environment with a BS or MS in CS or relevant field.
  • Experience leading software engineering teams building developer-facing platforms or data-intensive systems.
  • Strong understanding of distributed systems, application-layer APIs, and event-driven architectures.
  • Proficiency with technologies such as: Apache Kafka, GraphQL, Apache Flink, Apache Spark, or other streaming/batch processing frameworks, Materialized views and data serving layers, Opensearch, Elasticsearch.
  • Familiarity with building ML-aware data pipelines or data products that support personalization, trust, or search applications.
  • Strong product and stakeholder instincts, with the ability to balance long-term platform vision with near-term delivery.
  • Excellent communication and cross-functional collaboration skills.
  • Passion for mentoring engineers and scaling healthy team culture.
  • Bonus
  • Equity
  • Benefits
  • Employee Travel Credits
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