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LSEG

Global financial market infrastructure and data

AI Product Manager - Workflows

Product ManagementConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • A proven track record of building successful, large-scale client-facing products, ideally where artificial intelligence, search, or intelligent automation was central.
  • A data-driven product management approach grounded in telemetry, user research, and analytics.
  • At least 3 years of experience in product management, ideally in a matrixed, global organisation.
  • Familiarity with artificial intelligence and large language model 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 design and user-experience judgment, including the ability to uphold high standards.
  • Proven ability to lead cross-functional teams and align stakeholders across Product, Engineering, UX, Data Science, Legal, and Compliance.
  • Ability to operate in a fast-moving environment with shifting priorities while balancing delivery pace with quality.
  • Strong communication skills and ability to engage stakeholders across Engineering, Data Science, and business teams.
  • Curiosity and appetite for exploring new technologies to improve how products are built and delivered.

Responsibilities

  • Own and drive the product roadmap for artificial-intelligence-driven search, orchestration, and agentic workflows, balancing the quality and reliability of a live general-availability product with commercial growth.
  • Drive 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 artificial intelligence agents by working with business communities, Engineering, and Data Science to extend Workspace AI into specialised use cases.
  • Design and evolve artificial intelligence 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 artificial intelligence experiences.
  • Define key performance indicators, analyse usage and consumption data, and use user feedback to 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 Microsoft 365 Copilot.
  • Partner with Legal, Compliance, and Data Rights teams to keep the product compliant and embed data usage standards and Responsible AI requirements.
  • Manage dependencies across multiple workstreams and act 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 teams can make fast, well-grounded decisions based on user behaviour and engagement.

About the Company

LSEG

Global financial market infrastructure and data

LSEG provides global financial market infrastructure and data across the full value chain. It delivers data, analytics, and risk-management tools, benchmarks via FTSE Russell, regulatory and financial crime risk services, and trading, clearing, and settlement through its Capital Markets and Post Trade divisions, typically accessed via subscriptions, licensing, and fees. The company differentiates itself by offering an integrated, end-to-end platform that covers pre-trade data and analytics to post-trade processing with a broad, global footprint. Its goal is to grow over the long term by leveraging its diversified portfolio and international reach to create value for shareholders and customers.

Company size
10,001+
Company stage
IPO
Headquarters
London, United Kingdom
Founded
1801

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