Senior Manager, Software Development Engineering - Air Shopping Platform, Best Fare Search

Expedia Expedia · Hospitality · Seattle, WA

Expedia is seeking a Senior Manager, Software Development Engineering to lead teams in developing and integrating AI/ML-enabled solutions within their Air Shopping Platform, focusing on best fare search and overall travel experience.

What you'd actually do

  1. Lead and mentor software engineering teams to deliver scalable, resilient, and high-quality software solutions across multiple domains.
  2. Define and execute technical vision, architecture, and roadmap for complex services and platforms, aligning with business priorities.
  3. Provide oversight on system design, API development, and data modeling to ensure robust, secure, and maintainable systems.
  4. Foster a culture of operational excellence, continuous improvement, and cross-functional collaboration within engineering and product teams.
  5. Safely integrate and operate AI/ML-enabled solutions that drive improved outcomes, championing best practices in responsible AI deployment.

Skills

Required

  • Bachelor’s degree in Computer Science or a related technical field; or equivalent related professional experience.
  • 8+ years of relevant professional experience; with 3+ years managing teams.
  • Extensive engineering leadership experience managing teams delivering complex software solutions across multiple services or domains.
  • Demonstrated expertise in large-scale system design, architecture, and technical decision making.
  • Proven track record of integrating AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products.
  • Strong knowledge of software development best practices, security, and operational excellence at scale.

Nice to have

  • Experience leading architectural transformation and modernization initiatives for distributed systems in complex environments.
  • Demonstrated success in guiding engineering organizations through periods of significant growth, change, or complexity.
  • Expertise in full stack engineering, with the ability to operate across multiple technical domains and platforms.
  • Proven ability to champion data-driven decision making and operational excellence for mission-critical systems.
  • Deep familiarity with safely scaling and operating AI/ML-enabled solutions, including risk mitigation and ethical considerations.
  • Deep familiarity with the C++ language, libraries, dev tools, infrastructure, and design best practices.

What the JD emphasized

  • integrating AI-driven systems, tools, or workflows
  • applying AI/ML concepts to real world products
  • safely scaling and operating AI/ML-enabled solutions

Other signals

  • AI/ML-enabled solutions
  • responsible AI deployment
  • integrating AI-driven systems
  • applying AI/ML concepts to real world products
  • safely scaling and operating AI/ML-enabled solutions