
AI Product Manager
LSEG (London Stock Exchange Group)
full-time
Posted on:
Location Type: Office
Location: London • United Kingdom
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About the role
- Own product roadmap for AI-driven search and Agentic workflows.
- Design and implement AI evaluation frameworks to measure model performance, accuracy, and relevance in real-world financial workflows.
- Lead user discovery initiatives—conduct interviews, usability studies, and data-driven research to deeply understand customer needs and problems.
- Establish continuous feedback loops by integrating user insights, behavioral analytics, and A/B testing into product development to refine AI experiences.
- Drive end-to-end product development: from strategy and requirements to UX prototypes, engineering execution, and launch.
- Collaborate with platform and community teams to prioritize features that improve engagement and deliver measurable business outcomes.
- Define KPIs, analyze usage data, and leverage user feedback to continuously optimize product performance.
- Lead agile ceremonies and ensure alignment with organizational objectives and key results.
- Communicate complex ideas clearly across technical and business collaborators, influencing decisions at all levels.
Requirements
- Proven track record of building successful, large-scale client-facing products in finance or technology.
- 6 + years of experience in product management, ideally in a matrixed, global organization.
- Expertise in Search technologies, personalization, and recommendation algorithms.
- Familiarity with AI/ML applications and modern experimentation frameworks (A/B testing, feedback loops).
- Data-driven decision maker—comfortable using analytics, KPIs, and user insights to inform product strategy and prioritize features.
- Deep understanding of financial industry workflows and customer problems, with the ability to translate these into compelling product stories and actionable requirements.
- Strong critical thinking combined with hands-on execution—someone who thrives on delivering results.
- Exceptional communication skills and ability to work across engineering, data science, and business teams.
Benefits
- Competitive pay and benefits
- Healthcare
- Retirement planning
- Paid volunteering days
- Wellbeing initiatives
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI evaluation frameworksmodel performanceaccuracy measurementrelevance measurementsearch technologiespersonalization algorithmsrecommendation algorithmsA/B testingdata analysisproduct development
Soft Skills
user discoverycritical thinkingcommunicationcollaborationinfluencing decisionsdata-driven decision makingproblem-solvingleadershipagile methodologycustomer empathy