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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Product Manager III, GenAI & ML Platform - **Company:** Expedia, Inc. - **Location:** London, UK - **Experience:** Expert - **Salary:** £128,000.0 - £179,500.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Machine Learning, Productivity Software, Azure Machine Learning, Software Engineering, Generative AI, AI Platforms - **Published:** June 5, 2026 - **Apply:** https://uk.indeed.com/viewjob?jk=cd7de14376df93f6 ## About the Role Do you have experience in Usability?, Do you have a Master's degree?, * Bachelor's degree or equivalent practical experience. * 5+ years of product management or related experience , with ownership of product initiatives within a domain or across multiple teams. * Experience defining product requirements, prioritizing roadmaps, and delivering technical products or platform capabilities in partnership with engineering teams. * Strong analytical and decision-making skills, with the ability to use data and insights to guide strategy, measure outcomes, and navigate trade-offs. * Experience working on or supporting GenAI, machine learning platforms, developer platforms, or other highly technical products. * Familiarity with AI-driven tools, workflow automation, or productivity platforms, and how they drive adoption and business impact. * Understanding of AI/ML-enabled products, platforms, or workflows, including practical exposure to how AI-driven systems are built and used. * Ability to work effectively in highly technical and ambiguous environments, balancing hands-on execution with strategic thinking. * Strong communication and storytelling skills, with the ability to clearly articulate product strategy and simplify complex concepts. Preferred Qualifications: * Experience working on or supporting GenAI, machine learning platforms, developer platforms, or other highly technical products. * Familiarity with AI-driven tools, workflow automation, or productivity platforms, and how they drive adoption and business impact. * Demonstrated ability to take products from early-stage concepts through to scaled adoption. * Strong balance of technical depth and product leadership, including experience collaborating closely with engineers and contributing to technical discussions. * Experience driving platform adoption, including identifying user needs, prioritizing features, and improving usability and engagement. * Experience operating in environments with high stakeholder demand and competing priorities, with the ability to bring structure and clarity. * Understanding of operational considerations for platform products, including reliability, scalability, and continuous improvement through data-driven insights. * Previous experience in a related technical role such as software engineering, machine learning science or similar. * Masters or PhD degree in a technical discipline ## Description The GenAI and Machine Learning Platform team is responsible for building and scaling the internal capabilities that power AI-driven innovation across the organization. This includes developing shared platforms, tools, and workflows that enable teams to leverage Generative AI, machine learning, and automation to improve productivity, decision-making, and customer experiences. Within this fast-evolving space, the team plays a critical role in translating emerging AI opportunities into practical, scalable solutions. This role sits at the heart of that effort-working closely with engineering, machine learning and product leadership to drive adoption, shape priorities, and ensure platform capabilities align with real business needs. As a Product Manager III, you will help bridge strategy and execution, supporting both roadmap delivery and the day-to-day orchestration required to bring impactful AI/ML products to life. In this role, you will: * Define and support the execution of product strategy and roadmap for GenAI and ML platform capabilities, aligning investments with business priorities and platform adoption goals. * Partner closely with engineering, data science, and cross-functional stakeholders to translate complex platform and customer needs into clear product requirements, prioritized backlogs, and actionable deliverables. * Drive adoption and usability of internal AI platform tools and workflows, ensuring they effectively meet user needs and scale across teams. * Lead product development across the lifecycle-from concept through launch and iteration-balancing technical feasibility, user experience, and operational effectiveness. * Use data, experimentation, and stakeholder feedback to evaluate performance, inform prioritization decisions, and continuously improve product outcomes. * Contribute to shaping scalable, reliable, and secure AI/ML platform capabilities, including workflow automation, productivity tools, and model-enabled systems. * Collaborate across multiple technical domains, navigating ambiguity and evolving priorities to deliver incremental value while supporting longer-term platform vision. * Communicate clearly and effectively, translating complex technical concepts into compelling product narratives for both technical and non-technical audiences. ## Related Videos - [This App Reached 10,000 Users in One Week. 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