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Product Manager

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Onsite

Product Manager

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Product Manager

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Product StrategyProduct ManagementAIProduct ManagerMarket Research

16 days ago

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Important information


Contract type:

Permanent

Location:

London, UK

Work mode:

Onsite

Published on:

9 October 2026

What they need


Product Manager – AI & Enterprise Technology

About the Role

We are looking for an experienced Product Manager to lead the strategy, development and delivery of innovative technology solutions within a growing enterprise AI platform.

This role will focus on owning the product roadmap, defining requirements and working closely with engineering, design and commercial teams to deliver scalable, customer-focused solutions.

The ideal candidate will bring strong B2B product management experience, financial services industry knowledge and an understanding of AI technologies, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) and AI agents.

Key Responsibilities

  • Own and manage the product strategy and roadmap for a dedicated capability area, ensuring alignment with wider business objectives.
  • Define product priorities based on customer needs, commercial value, technical feasibility and market opportunities.
  • Maintain a clear, structured and traceable product backlog in collaboration with engineering teams.
  • Translate complex business and technical requirements into actionable epics, features and user stories.
  • Lead Agile product delivery activities, including backlog refinement, sprint planning, acceptance criteria and release governance.
  • Collaborate with engineering and delivery teams across London and Bengaluru throughout development, testing and release.
  • Own product decisions relating to APIs, integrations, data delivery services and platform connectivity.
  • Define quality standards and evaluation criteria for AI-powered features, including LLM outputs, accuracy and regression testing.
  • Work with engineering teams to manage AI-related challenges, including hallucination risks, output reliability, latency and token costs.
  • Conduct customer discovery and market research to identify opportunities for product improvements and innovation.
  • Engage with financial services clients to understand requirements and validate proposed solutions.
  • Monitor competitor offerings, industry developments and emerging AI technologies.
  • Support go-to-market activities alongside commercial, marketing and operations teams, including product positioning, release notes and internal enablement.

Key Requirements

  • 6–9 years of dedicated Product Management experience, ideally within B2B or enterprise technology environments.
  • Proven experience owning and delivering a product roadmap for a dedicated product or capability area.
  • Previous product management experience within the financial services industry.
  • Strong understanding of Agile product management methodologies and delivery processes.
  • Experience translating complex requirements into epics, features, user stories and clear acceptance criteria.
  • Comfortable working with APIs, integrations and enterprise data delivery services.
  • Working knowledge of modern AI technologies, including LLMs, RAG, AI agents and structured outputs.
  • Understanding of AI product evaluation, output quality and the challenges associated with non-deterministic systems.
  • Experience collaborating with engineering, design and commercial teams to deliver technical products.
  • Strong analytical, prioritisation and problem-solving skills.
  • Excellent stakeholder management and communication skills, with the ability to balance technical, customer and commercial requirements.

Desirable Experience

  • Product management experience within asset management, investment management or private markets.
  • Experience developing AI-powered enterprise products or SaaS platforms.
  • Familiarity with LLM evaluation frameworks, prompt engineering and AI agent workflows.
  • Understanding of AI infrastructure costs, token usage and performance optimisation.
  • Experience working with distributed engineering and delivery teams.
  • Knowledge of financial data platforms, investment workflows or enterprise data integration.
  • Experience supporting product launches, commercial positioning and go-to-market strategies.

Education

  • Bachelor's degree in Engineering, Computer Science, Finance or a related discipline.
  • Equivalent professional experience and a strong technical or financial services background will also be considered.

Interested?

If you have a strong background in enterprise product management, experience within financial services and an interest in building AI-powered technology solutions, we'd love to hear from you.

Apply today or get in touch to find out more.

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