> Markdown version of [/jobs/ext/3779207-sr-technical-program-manager](https://www.wearedevelopers.com/jobs/ext/3779207-sr-technical-program-manager). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Technical Program Manager - **Company:** Expedia Inc. - **Location:** Chicago, IL, United States - **Experience:** Expert - **Salary:** $171,500.0 - $274,500.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Machine Learning, Software Engineering, Data Analytics, Api Design - **Published:** October 16, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=fe4ec6f31dc8e0f3 ## About the Role * Bachelor's degree in a relevant technical, business, or equivalent field, or equivalent practical experience. * Significant experience leading technical programs involving multiple engineering teams, services, or interdependent workstreams. * Demonstrated ownership of program strategy, planning, execution, dependency management, risk mitigation, and stakeholder communication across a technical domain or organization. * Strong understanding of software development and technical concepts, including system design, API design, data modeling, architecture, and operational practices. * Experience using metrics, structured analysis, and delivery mechanisms to improve execution, quality, reliability, and business outcomes. * Background in Data and/or Advertising * Experience delivering complex, large-scale technical programs across multiple domains, platforms, or organizations. * Proven ability to influence architecture and technical direction through strong partnership with engineering and product leaders. * Experience establishing operating models, governance, and continuous-improvement mechanisms that increase delivery predictability and operational excellence. * Demonstrated ability to use data and technical insights to identify trade-offs, prioritize investments, and guide decisions in ambiguous environments. Experience leading programs that incorporate AI/ML-enabled capabilities, including evaluating risks, coordinating responsible implementation, and translating AI/ML concepts into practical product or platform outcomes. * Preferred Qualifications: * Background in Data and/or Advertising * Experience delivering complex, large-scale technical programs across multiple domains, platforms, or organizations. * Proven ability to influence architecture and technical direction through strong partnership with engineering and product leaders. * Experience establishing operating models, governance, and continuous-improvement mechanisms that increase delivery predictability and operational excellence. * Demonstrated ability to use data and technical insights to identify trade-offs, prioritize investments, and guide decisions in ambiguous environments. * Experience leading programs that incorporate AI/ML-enabled capabilities, including evaluating risks, coordinating responsible implementation, and translating AI/ML concepts into practical product or platform outcomes. ## Description * Lead complex, cross-functional technical programs from planning through delivery, aligning engineering, product, and business stakeholders around measurable outcomes. * Establish program strategy, milestones, dependencies, risks, and operating mechanisms across multiple services, teams, or technical domains. * Drive execution through clear communication, data-informed decision-making, structured problem solving, and timely escalation of issues that may affect delivery. * Partner with technical leaders on system design, API design, data modeling, architecture decisions, and delivery plans for scalable solutions. * Improve program predictability and operational excellence by establishing metrics, identifying process gaps, and implementing mechanisms that strengthen quality, reliability, and efficiency. Safely integrate and operate AI/ML-enabled solutions that improve outcomes, while demonstrating familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real-world products. *