About this role
AI Quality Assurance Program Manager I Tripadvisor
About Tripadvisor
The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world’s most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories. The subsidiaries of Tripadvisor, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including Tripadvisor, Viator, and TheFork.
The AI Quality Assurance Program Manager ensures that all artificial intelligence systems across Tripadvisor’s Travel Experiences execute reliably, accurately, and aligned with business goals. Positioning yourself at the intersection of AI performance, traveler satisfaction, and product development, you will establish testing frameworks, audit AI outputs, and turn 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.
Job Location: Hybrid
This role is a hybrid position that requires 2/3 days per week/month in our London Office.
Key Responsibilities
• Define the AI-Era Quality Strategy: Establish the end-to-end quality framework across human agents and AI agents, evolving QA from traditional sample-based auditing toward continuous, AI-enabled quality management.
• Establish AI Quality & Testing Frameworks: Design and maintain comprehensive evaluation benchmarks, testing protocols, and human-in-the-loop (HITL) workflows to verify AI agents, support bots, and recommendation engines operate as intended.
• Audit AI Outputs & Traveler Interactions: Continuously evaluate AI-generated outputs (e.g., automated support chats, tour recommendation accuracy, and booking updates) for intent fulfillment, safety, tone, and hallucination prevention.
• Drive Business Updates & Insights: Deliver executive-ready reporting that translates complex QA evaluation data, model accuracy rates, and error trends into strategic recommendations for business leaders.
• Lead Cross-Functional AI Improvements: Partner closely with Data Science, AI Engineering, Product, and CX teams to turn QA findings into prompt refinements, model fine-tuning, and updated knowledge base inputs.
• Maintain Release Momentum: Track project timelines for new AI deployments, manage QA regression testing schedules, and hold technical teams accountable to quality standards before full traveler rollout.
Qualifications
• Experience: 4–6 years in technical program management, QA management, or AI/ML product operations focused on system reliability and evaluation.
• AI Evaluation Expertise: Strong operational knowledge of AI/LLM testing methodologies