Engineering Manager, Experimentation Infrastructure

Airbnb Airbnb · Consumer · United States · Software Engineering

Engineering Manager for Airbnb's Experimentation Infrastructure team, responsible for leading the vision, technical strategy, and delivery of a next-generation experimentation platform. The role involves improving experiment setup, analysis, and reliability, including advanced feature flagging, adaptive experimentation, and change ramping frameworks to support data-driven decision-making and product launches.

What you'd actually do

  1. Lead the team in delivering a platform which ensures that Airbnb can leverage experimentation to guide decision-making and build understanding, with speed and reliability.
  2. Be conversant in systems design/architecture, can reason about trade-offs, and ultimately own & defend technical decisions / technical direction for your team
  3. Work across the organization, partnering with both upstream dependencies (e.g. data infrastructure, core services), stakeholders, and customers (Data Science, Analysts, Product Engineers)
  4. Empower the team to achieve a high level of productivity, reliability and simplicity.
  5. Stay current on leading industry trends and participate in defining the company’s engineering culture.

Skills

Required

  • 5+ years of managing teams of software engineers
  • 9+ years of relevant software development industry experience
  • Technical leadership
  • Experience with experimentation and/or feature flagging systems, especially at large scale
  • Experience with and passion for experimentation methodology and practice
  • Strong communication and collaboration skills
  • Able to retain, mentor, grow and hire senior and staff engineers
  • Able to contribute to culture choices and initiatives that positively impact all of engineering

Nice to have

  • Experience with data infrastructure (storage, processing, orchestration) and/or data-driven application development

What the JD emphasized

  • experimentation and/or feature flagging systems, especially at large scale
  • Experience with and passion for experimentation methodology and practice