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.
- 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.