Product Manager III, B2B Intelligent Experience Platform

In this role, you will:

Product Strategy & Vision

• Organize the strategic vision into key themes that solve both short-term and long-term traveler, partner, and business needs

• Take a lead role in detailing a multi-quarter roadmap, articulating key themes, milestones, and trade-offs through a compelling narrative that resonates across senior leadership and cross-functional teams

• Balance short-term and long-term business considerations with product decisions and partner with Finance to set incremental revenue targets

• Drive innovation within the platform, exploring new use cases and experiences that increase customer confidence and drive metric improvement

Customer, Market & Commercial Insight

• Reference detailed market research and competitive analysis (customer segmentation, market sizing, partner needs) to inform strategy and roadmap

• Clearly define the value proposition of the product through competitive analysis and/or understanding of customer pain points

• Develop testable hypotheses that address industry and regulatory needs and drive performance outcomes; use experimentation to validate direction

• Identify friction in the traveler journey (from discovery through post-trip servicing) and recommend customer-centric product and UX solutions to increase understanding, trust, and conversion

Data, Experimentation & AI/ML

• Facilitate integration of AI/ML into product functionality (e.g., personalization, pricing support, or servicing flows) by leveraging an understanding of model development (data collection and processing, model training, evaluation, deployment, and monitoring)

• Independently design product experiments, gather and analyze product data, draw insights, and make informed decisions; engage Data Analytics teams where deeper analysis is needed

• Define new metrics, dashboards, and data sources to monitor the health of the product (e.g., attach rate, conversion, NPS/CSAT) and drive regular metric reviews that lead to concrete actions

Execution & Delivery

• Leverage understanding of technical architecture to ensure decisions address product requirements and adjust designs to account for dependent systems

• Effectively prioritize initiatives and features using a data-informed framework that incorporates business impact, risk, customer value, and effort

• Own product requirements documentation (PRDs, user stories, acceptance criteria) leveraging Expedia Group's standard toolkit; ensure clarity, completeness, and alignment to outcomes

• Collaborate closely with engineering to break down user stories, identify and manage dependencies, and ensure predictable delivery against roadmap commitments

• Facilitate alignment between engineering, design, operations, and partner teams by ensuring product goals and success measures are clearly articulated and visually represented

• Create and interpret product experiments in partnership with UX and data teams to deliver platform value

Stakeholder Leadership & Communication

• Develop the ability to influence without formal authority, earning trust with peer leaders, functional partners, and external stakeholders

• Encourage the team to achieve operational excellence, acting as a motivating and stabilizing force during planning, delivery, and incident response

• Communicate effectively up, down, and across the organization, using data, insights, and storytelling to tailor messages to executives, cross-functional partners, and regional stakeholders

• Demonstrate a proven track record of clearly and persuasively articulating product concepts, strategies, and decisions to cross-functional teams and, where appropriate, to partners and customers

Experience and Qualifications

Required:

• Bachelor's degree in a related field, or equivalent related professional experience; 5+ years of relevant experience required

• Master's degree in a related field, or equivalent related professional experience; 3+ years of relevant experience required

• Proficiency in Agile product development practices

• Knowledge of AI/ML concepts and their application in products

• Knowledge of data science principles and experimentation, including A/B testing and hypothesis-driven development

• Proficient written and verbal communication skills

• Active listening and stakeholder management

• Scientific method and problem decomposition

• Ability to reverse engineer complex systems and flows

• Business acumen and commercial mindset (P&L, pricing, and unit economics awareness)

• Ability to influence without authority

• Appropriate, calculated risk-taking