AI Product Manager, Workflows

LSEG (London Stock Exchange Group)

. Own and drive the product roadmap for AI-driven search, orchestration, and agentic workflows .

Posted 11/3/2026full-timeBucharest • RomaniaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI-driven product management, focusing on building client-facing products that leverage data analytics and user research to optimize performance in financial workflows. Proven ability to lead cross-functional teams and align stakeholders while maintaining a strong user experience focus.

Highest-signal resume keywords

Product ManagementAI/LLM EcosystemsPythonSQLFinancial Industry Workflows

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisUser ResearchTelemetryKPI DefinitionAgile MethodologiesAI Evaluation FrameworksProduct Performance OptimizationDesign PrinciplesIntegration of Data SourcesClient-Facing Product Development

Soft Skills

Strong CommunicationStakeholder EngagementCuriosityAdaptabilityTeam Leadership

Tools & Technologies

M365 CopilotWorkspaceTeamsBehavioral AnalyticsData Science Tools

Industry Keywords

Responsible AIData Usage StandardsFinancial WorkflowsIntelligent AutomationUser Experience

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Own and drive the product roadmap for AI-driven search, orchestration, and agentic workflows
Balance quality and reliability of a live general-availability product with commercial growth
Drive integration of new data sources and capabilities across asset classes and data domains
Shape and deliver domain-specific AI agents with business communities, Engineering, and Data Science
Design and evolve AI evaluation frameworks and quality metrics for performance, accuracy, and relevance in financial workflows
Lead user discovery and continuous feedback loops through research, behavioural analytics, and telemetry
Define KPIs, analyse usage and consumption data, and optimise product performance and adoption
Collaborate with platform and community teams to prioritise engagement and business-outcome features across Workspace, Teams, and M365 Copilot
Partner with Legal, Compliance, and Data Rights teams on data usage standards and Responsible AI requirements
Manage dependencies across workstreams and keep teams aligned end-to-end
Lead agile ceremonies and align work with organisational objectives and key results
Embed data-informed processes for rapid, user-behaviour-grounded decision-making
Work hands-on with Engineers, Data Scientists, and Product Designers to shape delivery and measurement

Requirements

What you’ll need

Proven track record of building successful, large-scale client-facing products, ideally involving AI, search, or intelligent automation
Data-driven product management approach grounded in telemetry, user research, and analytics
3+ years of experience in product management
Familiarity with AI/LLM ecosystems and modern experimentation and evaluation methods
Deep understanding of financial industry workflows and customer problems
Working knowledge of Python and SQL, with ability to query and analyse product data directly and prototype ideas
Strong instinct for design and user experience
Genuine excitement about AI and a point of view on its impact on financial data discovery, analysis, and action
Proven ability to lead cross-functional teams and align stakeholders across Product, Engineering, UX, Data Science, Legal, and Compliance
Comfort operating in a fast-moving environment with shifting priorities
Strong communication skills and ability to engage stakeholders at all levels
Curious mindset and appetite for exploring new technologies

Benefits

Comp & perks

Healthcare
Retirement planning
Paid volunteering days
Wellbeing initiatives
Equal opportunities and reasonable accommodation for religious practices, beliefs, and mental health or physical disability needs
Fundraising and volunteering opportunities through the LSEG Foundation