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YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_095bb1f9-cf7"},"title":"AI Product Manager for AI & Agentic Workflows","description":"<p>As an AI Product Manager for AI &amp; Agentic Workflows, you will drive the strategy, roadmap and delivery of the AI layer that powers intelligent search and agentic experiences across LSEG Workspace.</p>\n<p>You will work hands-on with full-stack squads of Engineers, Data Scientists and Product Designers , shaping what gets built, how it gets measured and how it lands with users.</p>\n<p>Your focus will be on making AI experiences faster, smarter and more extensible: expanding coverage across asset classes and data domains, designing new agentic workflows, and building the evaluation frameworks that keep quality high as the product scales.</p>\n<p><strong>Key responsibilities</strong></p>\n<ul>\n<li>Own and drive the product roadmap for AI-driven search, orchestration and agentic workflows, balancing the quality and reliability of a live GA product with commercial growth.</li>\n<li>Drive the integration of new data sources and capabilities, expanding coverage across asset classes and data domains while keeping complexity low.</li>\n<li>Shape the design and delivery of domain-specific AI agents - working with business communities, Engineering and Data Science to extend Workspace AI into new specialised use cases.</li>\n<li>Design and evolve AI evaluation frameworks and quality metrics to measure performance, accuracy and relevance in real-world financial workflows.</li>\n<li>Lead user discovery and continuous feedback loops, conducting research and integrating behavioural analytics and telemetry into product development to refine AI experiences.</li>\n<li>Define KPIs, analyse usage and consumption data, and leverage user feedback to continuously optimise product performance and adoption.</li>\n<li>Collaborate with platform and community teams to prioritise features that improve engagement and deliver measurable business outcomes across Workspace surfaces including Teams and M365 Copilot.</li>\n<li>Partner with Legal, Compliance and Data Rights teams to keep the product compliant, embedding data usage standards and Responsible AI requirements.</li>\n<li>Manage dependencies across multiple workstreams, acting as a connector to keep teams aligned end-to-end.</li>\n<li>Lead agile ceremonies and ensure alignment with organisational objectives and key results.</li>\n<li>Embed a data-informed process so your teams can make fast, good decisions grounded in user behaviour and engagement.</li>\n</ul>\n<p><strong>What you&#39;ll bring</strong></p>\n<ul>\n<li>A proven track record of building successful, large-scale client-facing products - ideally where AI, search or intelligent automation was central.</li>\n<li>A data-driven product management approach where product decisions are deep rooted in telemetry, user research and analytics.</li>\n<li>3+ years of experience in product management, ideally in a matrixed, global organisation.</li>\n<li>Familiarity with AI/LLM ecosystems and modern experimentation and evaluation methods.</li>\n<li>Deep understanding of financial industry workflows and customer problems, with the ability to translate these into compelling product stories and actionable requirements.</li>\n<li>Working knowledge of Python and SQL, with the ability to query and analyse product data directly and prototype ideas.</li>\n<li>Strong instinct for design and user experience, with the judgement to know what &quot;great&quot; 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