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AI Product Manager - Agentic AI

Job in City of London, Central London, Greater London, England, UK
Listing for: La Fosse
Full Time position
Listed on 2026-08-11
Job specializations:
  • Engineering
    AI Business & Operations, AI Engineer (Applied/Software), Product Manager
Salary/Wage Range or Industry Benchmark: 75000 - 90000 GBP Yearly GBP 75000.00 90000.00 YEAR
Job Description & How to Apply Below
Location: City of London

AI Product Manager - Agentic AI

£75,000 – £90,000 + equity

London (Victoria) – four days per week in the office

Early-stage AI startup

We’re partnering with a fast-growing AI business building an agentic platform that automates operational workflows across the property industry.

The company is already running more than 30 customer trials, including a major enterprise opportunity, and has secured funding that provides runway beyond 2028. With around 30 employees globally and plans to double headcount over the next nine months, this is an opportunity to join at a genuinely formative stage.

They are now looking for a hands-on AI Product Manager who can help turn rapidly developed AI capabilities and prototypes into reliable, scalable and commercially successful products.

The Role

This is a builder role for someone who understands how AI products behave in the real world.

You will work closely with the Product Lead, founders, engineers and customers to close the gap between rapid AI experimentation and production-ready product delivery.

The current team is able to prototype quickly. Your role will be to introduce the product discipline, customer insight and delivery focus needed to turn that innovation into tangible commercial outcomes.

You will take ownership of real customer problems, help define how the AI product should behave and ensure that new capabilities are useful, measurable and trusted by customers.

Your responsibilities will include:

  • Developing and maintaining the product roadmap.
  • Turning customer conversations and feedback into clearly defined product priorities.
  • Taking AI-powered features from initial concept through to delivery, evaluation and validation.
  • Defining what good looks like for new AI capabilities, including success measures and expected product behaviour.
  • Working with engineering and AI specialists to understand model limitations, technical trade-offs and delivery risks.
  • Helping turn prototypes and experiments into robust, scalable commercial products.
  • Identifying where AI-generated outputs fail, behave inconsistently or create poor customer experiences.
  • Defining clear requirements, user stories, success criteria and acceptance criteria.
  • Prioritising work based on customer value, commercial opportunity, product quality and technical complexity.
  • Using AI tools, agents and workflows throughout your own day-to-day product practice.
  • Supporting the launch, adoption and continuous improvement of new product capabilities.

What they’re looking for

You will be an AI-native product person who is comfortable operating at the intersection of customers, product and engineering.

The ideal candidate will bring:

  • Approximately two to three years of product management experience.
  • Previous hands-on experience as a software developer, engineer or builder of AI workflows.
  • Experience delivering AI, machine learning or agentic products into real customer environments.
  • Genuine fluency with AI tools, rather than theoretical knowledge or occasional experimentation.
  • Strong instincts for where AI products can break, underperform or behave unpredictably.
  • The ability to define, test and improve AI product quality using evidence rather than instinct alone.
  • Experience working in an early-stage or high-growth startup environment.
  • A strong practical understanding of how software and AI products are designed, built and released.
  • The ability to translate fluently between customer needs, commercial priorities and technical constraints.
  • A track record of delivering tangible product outcomes rather than only producing roadmaps and documentation.
  • The confidence to operate in a fast-moving environment where priorities can change quickly.
  • A methodical, commercially focused approach to solving product problems.
  • Experience with AI evaluations, prompt testing, model behaviour, test scenarios, graders or quality assurance for AI products would be particularly valuable.
  • Experience in Prop Tech, lettings, estate agency or workflow automation would be beneficial, but it is not essential.
  • Candidates should hold a 2:1 or first-class degree from a leading university.

The Environment

This is a high-intensity, ambitious and highly accountable working…

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