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.

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.

Key responsibilities

• 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.
• Drive the integration of new data sources and capabilities, expanding coverage across asset classes and data domains while keeping complexity low.
• 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.
• Design and evolve AI evaluation frameworks and quality metrics to measure performance, accuracy and relevance in real-world financial workflows.
• Lead user discovery and continuous feedback loops, conducting research and integrating behavioural analytics and telemetry into product development to refine AI experiences.
• Define KPIs, analyse usage and consumption data, and leverage user feedback to continuously optimise product performance and adoption.
• 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.
• Partner with Legal, Compliance and Data Rights teams to keep the product compliant, embedding data usage standards and Responsible AI requirements.
• Manage dependencies across multiple workstreams, acting as a connector to keep teams aligned end-to-end.
• Lead agile ceremonies and ensure alignment with organisational objectives and key results.
• Embed a data-informed process so your teams can make fast, good decisions grounded in user behaviour and engagement.

What you'll bring

• A proven track record of building successful, large-scale client-facing products - ideally where AI, search or intelligent automation was central.
• A data-driven product management approach where product decisions are deep rooted in telemetry, user research and analytics.
• 3+ years of experience in product management, ideally in a matrixed, global organisation.
• Familiarity with AI/LLM ecosystems and modern experimentation and evaluation methods.
• Deep understanding of financial industry workflows and customer problems, with the ability to translate these into compelling product stories and actionable requirements.
• Working knowledge of Python and SQL, with the ability to query and analyse product data directly and prototype ideas.
• Strong instinct for design and user experience, with the judgement to know what "great" feels like and the standards to hold teams to it.
• Genuine excitement about AI and a point of view on how it transforms how people discover, analyse and act on financial data.
• Proven ability to lead cross-functional teams and align diverse stakeholders across Product, Engineering, UX, Data Science, Legal and Compliance.
• Comfort operating in a fast-moving environment with shifting priorities, balancing delivery pace with quality.
• Strong communication skills and the ability to engage stakeholders at all levels , across Engineering, Data Science and business teams.
• A curious mindset and an appetite for exploring new technologies to improve how products are built and delivered.

Job Data by YubHub.