Senior AI Product Manager

2 months, 1 week ago
Full-time
Lead
Artificial Intelligence and Machine Learning
FE fundinfo

FE fundinfo

FE fundinfo provides comprehensive investment data and insights tailored for fund managers, distributors, and financial advisers, utilizing advanced tools like FE Analytics and Trustnet to enhance decision-making in the fund management industry.

Capital Markets
1K-5K

Description

  • Own and drive the product roadmap for an AI-first squad delivering AI-powered solutions.
  • Identify, validate, and prioritise customer problems using research, interviews, and data-driven insights.
  • Translate product vision into clear requirements, delivery plans, and measurable success metrics.
  • Work closely with engineering, data science, design, and commercial teams to deliver products end to end.
  • Champion AI-first ways of working and influence stakeholders to drive AI adoption across the business.
  • Commercialise AI products in a B2B environment to create measurable customer and business value.
  • Lead a pod from a clean sheet, setting direction and shipping at pace on real customer problems.
  • Pilot and help define the future operating model for the wider product organisation.
  • Engage with customers as needed, including occasional travel primarily to London.

Requirements

  • Proven track record of building and launching AI-driven products end to end, including go-to-market strategy and execution.
  • Strong experience in B2B product management, including commercialising new solutions.
  • Experience working in fast-moving, agile squads or start-up-like environments.
  • Strong ability to uncover customer needs and translate them into impactful product outcomes.
  • Strong prioritisation, problem-solving, and decision-making skills.
  • Strong cross-functional collaboration skills.
  • Experience leading product work in an AI-first or transformation setting is preferred.
  • Ability to work remotely with occasional travel required to meet customers, primarily in London.
  • Experience with financial services, investment, or data products is not explicitly required but may be beneficial.

Benefits

  • 25 days of annual leave, with the option to buy an extra 5 days each year.
  • Enhanced paternity, maternity, and shared parental leave.
  • Company pension scheme.
  • Sponsored learning and development, including formal qualifications.
  • Private medical insurance.
  • Discounted gym memberships.
  • Bike to Work scheme.
  • Eye care and flu jab services.

Interested in this position?

Apply directly on the company website

Apply Now

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