Senior Manager, Productivity - Enterprise AI

Expedia Group brands power global travel for everyone, everywhere. We design cutting‑edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.

To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.

We provide a full benefits package, including exciting travel perks, generous time‑off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us.

Our Enterprise IT group partners with teams across Expedia Group to create innovative products, services, and tools to deliver high‑quality experiences for travelers, partners, and our employees. We empower employees worldwide with best‑in‑class technology to boost their productivity and enable AI in the flow of work.

Expedia Group’s enterprise IT team is seeking a visionary technical leader to own and optimize our Enterprise AI ecosystem, with a primary focus on the administration and engineering of our Enterprise Search and AI assistant technology. As the Senior Manager of Enterprise AI Engineering, you will not only administer the platform but also architect the "central nervous system" of our company’s knowledge.

You will lead the engineering efforts to connect our data silos, ensure granular security governance, and build custom AI agents that drive productivity. You will act as the bridge between our internal data and the Large Language Models (LLMs) that power our workforce, ensuring our deployment is secure, scalable, and highly adopted.

• Lead the design, development, and deployment of AI‑driven SaaS platforms, ensuring scalable and robust technical solutions across multiple business domains.
• Drive cross‑functional teams to define and deliver innovative product capabilities powered by machine learning and advanced data modeling.
• 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.
• Advocate for operational excellence, including reliability, security, and performance best practices in all phases of the software development lifecycle.
• Guide the adoption and safe integration of AI/ML technologies, tools, and workflows, applying AI/ML concepts to address real‑world product challenges.
• Foster a culture of continuous improvement through technical mentorship, collaboration, and the championing of data‑driven decision making.

• Bachelor’s Degree or Equivalent Level;
  Technical Degree Preferred
• 8+ years of relevant professional experience and 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, and integrating AI/ML solutions into production environments
• Familiarity with AI‑driven systems, tools, or workflows and applying AI/ML concepts to real world products

• 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

The total cash range for this position in Austin is $ to $. Employees in this role have the potential to increase their pay up to $, which is the top of the range, based on…