product manager for AI analytics products
Expedia, Inc., Manor Park, Epsom and Ewell
product manager for AI analytics products
Salary not available. View on company website.
Expedia, Inc., Manor Park, Epsom and Ewell
- Full time
- Permanent
- Onsite working
Posted 6 days ago, 15 Aug | Get your application in now to be included in the first week's applications.
Closing date: Closing date not specified
Job ref: f94212d147ce47d5bc47de7263ab23a4
Location ref: Manor Park, Epsom and Ewell
Full Job Description
Product Manager for AI Analytics Products
2026-08-09T00:00:00
Location: South East England
Country: GB
Postal Code: KT19 8GY
Application Deadline: 2026-09-08T03:34:29.77
Description
Expedia Group is a global travel company that connects travelers, partners, and advertisers through consumer brands, a B2B network, and travel advertising services. Its brands include Expedia, Hotels.com, and Vrbo.
Tasks
- Own and evolve AI-powered analytics and decision-support experiences that help users discover insights, automate workflows, and make better decisions
- Define product strategy, roadmaps, priorities, and success metrics for a portfolio of analytics and AI-enabled products
- Partner with engineering teams to build intelligent experiences using Large Language Models (LLMs), retrieval-augmented generation (RAG), conversational interfaces, and agentic workflows
- Collaborate with analytics, data, engineering, and business stakeholders to identify customer needs and AI-driven opportunities
- Translate complex customer and business problems into product requirements, user stories, and prioritized backlogs
- Use qualitative and quantitative data to evaluate product performance and inform investment decisions
- Stay current with industry trends, emerging technologies, and evolving customer expectations
- Ensure products address trust, governance, privacy, security, and responsible AI considerations
- Partner across platform and domain teams to deliver scalable capabilities adopted across multiple business functions
Requirements
- 5+ Years of Product Management experience delivering technical products, data products, analytics solutions, AI-powered applications, or enterprise software
- Experience in analytics, data, machine learning, AI, or other technical product domains
- Strong understanding of how users interact with data and analytics products to answer questions, generate insights, and drive business outcomes
- Experience working with software engineers and technical stakeholders to define requirements, prioritize work, and deliver products iteratively
- Strong familiarity with generative AI, Large Language Models (LLMs), conversational AI, or machine learning-powered experiences
- Understanding of retrieval-augmented generation (RAG), AI agents, orchestration frameworks, evaluation approaches, or similar AI product patterns
- Strong analytical and problem-solving skills
- Excellent communication and stakeholder management skills, with the ability to influence technical and non-technical audiences
- Nice to have: Experience building or launching AI-powered analytics products, enterprise data or knowledge systems, responsible AI principles, partnership with Data Science, Machine Learning, or Applied AI teams, taking products from concept through launch and optimization, measuring adoption and business impact, complex cross-functional environments, travel, e-commerce, marketplace, or consumer technology experience
Conditions
No conditions specified
#s1-Gen
inform investment decisionsStay current with industry trends, emerging technologies, and evolving customer expectationsEnsure products address trust, governance, privacy, security, and responsible AI considerationsPartner across platform and domain teams to deliver scalable capabilities adopted across multiple business functionsТребования5+ Years of Product Management experience delivering technical products, data products, analytics solutions, AI-powered applications, or enterprise softwareExperience in analytics, data, machine learning, AI, or other technical product domainsStrong understanding of how users interact with data and analytics products to answer questions, generate insights, and drive business outcomesExperience working with software engineers and technical stakeholders to define requirements, prioritize work, and deliver products iterativelyStrong familiarity with generative AI, Large Language Models (LLMs), conversational AI, or machine learning-powered
experiencesUnderstanding of retrieval-augmented generation (RAG), AI agents, orchestration frameworks, evaluation approaches, or similar AI product patternsStrong analytical and problem-solving skillsExcellent communication and stakeholder management skills, with the ability to influence technical and non-technical audiencesNice to have: Experience building or launching AI-powered analytics products, enterprise data or knowledge systems, responsible AI principles, partnership with Data Science, Machine Learning, or Applied AI teams, taking products from concept through launch and optimization, measuring adoption and business impact, complex cross-functional environments, travel, e-commerce, marketplace, or consumer technology experienceУсловияNo conditions specified #J-18808-Ljbffr
Описание: Expedia Group is a global travel company that connects travelers, partners, and advertisers through consumer brands, a B2B network, and travel advertising services. Its brands include Expedia, Hotels.com, and Vrbo.ЗадачиOwn and evolve AI-powered analytics and decision-support experiences that help users discover insights, automate workflows, and make better decisionsDefine product strategy, roadmaps, priorities, and success metrics for a portfolio of analytics and AI-enabled productsPartner with engineering teams to build intelligent experiences using Large Language Models (LLMs), retrieval-augmented generation (RAG), conversational interfaces, and agentic workflowsCollaborate with analytics, data, engineering, and business stakeholders to identify customer needs and AI-driven opportunitiesTranslate complex customer and business problems into product requirements, user stories, and prioritized backlogsUse qualitative and quantitative data to evaluate product performance and