Location
Hybrid role based in London with 2-3 days per week/month required in the London office.

Hours
Full Time - Flexible schedule with remote-friendly options to suit your lifestyle.

Salary
Negotiable

About the Role
The AI Quality Assurance Program Manager at Tripadvisor ensures that all artificial intelligence systems across Tripadvisor’s Travel Experiences operate reliably, accurately, and aligned with business goals. Positioned at the intersection of AI performance, traveler satisfaction, and product development, you will establish testing frameworks, audit AI outputs, and transform quality findings into actionable operational insights. You will drive performance tracking, unblock cross-functional teams, and regularly report AI accuracy, success metrics, and enhancement roadmaps to executive leadership. Key responsibilities include defining the AI-era quality strategy by evolving QA from traditional auditing to continuous AI-enabled quality management, designing and maintaining AI quality and testing frameworks, auditing AI outputs and traveler interactions for intent fulfillment and safety, delivering executive-ready business insights, leading cross-functional AI improvements, and maintaining release momentum through rigorous QA regression testing and accountability.

Experience
4–6 years in technical program management, QA management, or AI/ML product operations focused on system reliability and evaluation.

About you
Strong operational knowledge of AI/LLM testing methodologies, prompt evaluation, intent recognition accuracy, and AI safety guardrails. Proven ability to analyze AI logs, leverage analytics tools, and translate quality metrics into clear, executive-ready presentations and dashboards. Exceptional at bridging technical AI engineering teams with business stakeholders and front-line traveler support operations. Deep interest in online travel, traveler behavior, and maintaining high trust across consumer-facing AI interactions.

Qualifications
Hands-on experience with modern LLM evaluation tools, annotation platforms, or customer service AI tools (e.g., Zendesk AI, Intercom, Salesforce) is preferred. Background in travel tech, e-commerce marketplaces, or fast-scaling consumer platforms is advantageous.