AI Product Lead - London

Salary: £50,000 - 90,000 per year

Requirements:

• Strong product leadership with a practical understanding of Generative AI
• Practical understanding of GenAI, LLMs and agents, including their limits and evaluation
• Commercial mindset, linking user needs and product choices to measurable value
• Comfortable leading through uncertainty and making evidence-based decisions
• Clear communicator, able to explain AI concepts, trade-offs and risks to varied audiences
• Influential without authority, aligning business, users, engineering and risk partners
• Decisive prioritisation skills, including stopping low-value work when needed
• Evidence-led and pragmatic, balancing data, user insight, technical evaluation and judgement
• User-centred and trust-focused approach to product design
• Responsible by design, with privacy, security, fairness, explainability and accountability as core principles
• Collaborative and low-ego, working well with Engineering, Delivery and subject-matter experts
• Adaptable and curious, testing assumptions and adjusting as evidence, technology and regulation evolve
• Pragmatic about whether to build, buy, partner, reuse or wait
• Motivated by creating trusted products that deliver measurable outcomes

Responsibilities:

• Lead the definition, evolution and delivery of AI products, our agentic infrastructure platform and reusable capabilities across the AI & Innovation portfolio
• Work closely with business leaders, users, Engineering and Delivery to set product direction, validate opportunities and turn strategy into measurable outcomes
• Balance customer desirability, technical feasibility, commercial viability and responsible use throughout the product lifecycle
• Ensure products are designed around clear success measures, appropriate human oversight and evidence of real-world value
• Adapt the roadmap as user needs, business priorities, technology capabilities and regulatory expectations evolve
• Own and communicate the vision, strategy and roadmap for assigned AI products and capabilities
• Represent customers using insight into their needs and workflows to guide product decisions
• Prioritise valuable problems and challenge whether AI is the right solution
• Translate strategy into clear outcomes, priorities and a coherent roadmap and backlog
• Lead discovery and experimentation to validate value, usability, feasibility and operational readiness
• Define success measures across value, adoption, quality, reliability, risk and cost
• Establish proportionate evaluation methods, quality thresholds and release criteria for AI capabilities
• Communicate AIs capabilities and limitations, including hallucination, bias, explainability and changing model behaviour
• Embed Responsible AI, security, privacy and appropriate human oversight throughout the product lifecycle
• Make transparent trade-offs between value, speed, quality, risk, cost and maintainability
• Partner with Engineering and Delivery Leads to shape secure, scalable and achievable solutions
• Align business owners and senior stakeholders around priorities, adoption and measurable outcomes
• Guide build, buy, partner and reuse decisions based on value, capability and total cost
• Decide when to scale, iterate, pivot, consolidate or retire products and features
• Drive adoption, continuous improvement and value realisation
• Assess emerging AI and product developments for their relevance to Schroders
• Share product practices and lessons learned across the wider organisation

Technologies:

• AI
• AI Agents
• Support
• Security

More:

We are Schroders, a global investment manager with around 6,000 people across six continents and more than 200 years of history, continually adapting as society and technology change. Our AI & Innovation team is our centre of excellence for AI, delivering enterprise AI services and enabling high-value use cases for the organisation and its clients. We develop internal AI products and services, with a focus on the platform and operating model that will allow AI agents to deliver value at scale across the enterprise. We work with teams across the firm to oversee and support AI use cases, ensure robust Responsible AI governance, and promote education and adoption. This is a high-priority, high-visibility area using cutting-edge technology, and we move at pace while managing competing priorities. We recognise potential, whoever you are, and we are an equal opportunities employer committed to inclusion and diversity.

last updated 35 week of 2026