Senior Manager, Enterprise AI Platforms

Expedia Expedia · Hospitality · Austin, TX

Senior Manager for Enterprise AI Platforms at Expedia, focusing on the administration and engineering of Enterprise Search and AI assistant technology. The role involves leading efforts to connect data silos, ensure security governance, and build custom AI agents to drive productivity, acting as a bridge between internal data and LLMs. Emphasis on secure, scalable, and adopted deployment.

What you'd actually do

  1. Lead the design, development, and deployment of AI-driven SaaS platforms, ensuring scalable and robust technical solutions across multiple business domains.
  2. Drive cross-functional teams to define and deliver innovative product capabilities powered by machine learning and advanced data modeling.
  3. Develop and enforce system architecture standards, including API design and low-level system design, to support secure and efficient integration of AI/ML-enabled solutions.
  4. Advocate for operational excellence, including reliability, security, and performance best practices in all phases of the software development lifecycle.
  5. Guide the adoption and safe integration of AI/ML technologies, tools, and workflows, applying AI/ML concepts to address real-world product challenges.

Skills

Required

  • 8+ years of relevant professional experience
  • 3+ years of people management experience
  • Demonstrated ownership of end-to-end SaaS platform delivery at a multi-service or domain level
  • Proven expertise in system design, API development, data modeling
  • Familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products

Nice to have

  • Experience operating and scaling AI-powered SaaS products across global or enterprise environments
  • Track record of architectural leadership, driving adoption of advanced AI/ML techniques within large-scale, distributed systems
  • Strong background in operational excellence, including monitoring, incident response, and automated quality assurance for AI-enabled solutions
  • Demonstrated ability to take products from concept to scaled adoption, leveraging AI/ML to drive user and business impact
  • Hands-on experience with safe and ethical integration of generative AI models within SaaS platforms

What the JD emphasized

  • ownership of end-to-end SaaS platform delivery
  • integrating AI/ML solutions into production environments
  • operating and scaling AI-powered SaaS products
  • architectural leadership, driving adoption of advanced AI/ML techniques
  • safe and ethical integration of generative AI models

Other signals

  • building custom AI agents
  • connecting data silos for LLMs
  • secure, scalable, and highly adopted AI deployment
  • architecting the central nervous system of company knowledge