Product Manager

Dragonfly People

London

1 year ago

Applications closed

Related Jobs

View all jobs

Product Manager (Artificial Intelligence) - Ipswich, Norwich, Cambridge, Chelmsford

Product Manager III - Artificial Intelligence & Machine Learning Platform

Product Manager - Machine Learning

Sr Product Manager, Data Science

AI Product Manager - Data Science

Product Owner - Network Automation, AIOps (OSS)

Product Manager (AI)

A Product Manager experienced in AI is needed by a rapidly growing Fintech company based in London. The AI Product Manager will be responsible for improving the products capabilities as well as moving the company along its AI journey to design and deliver new and exciting AI powered products and services.

Location: London 2-3 times a week onsite

Product Manager (AI) - Requirements

Proven experience in product management, with a focus on AI, machine learning, or data-driven products, ideally in the FinTech or financial services industry.
Strong understanding of AI technologies, including natural language processing (NLP), machine learning (ML), and generative AI.
Experience working with cross-functional teams, including data science, engineering, and customer support, to deliver AI-driven solutions.
Demonstrated ability to manage and scale AI products or technologies within a business environment.
Excellent communication and stakeholder management skills, with the ability to articulate complex technical concepts to non-technical audiences.
Strong analytical and problem-solving abilities, with a data-driven approach to decision-making.
May have some experience in software development with a focus on AI and prompt engineering on LLMs- even if it’s just playing around with your own project.
Understanding of machine learning algorithms and techniques, particularly in the context of LLMs/conversational AI
Experience with A/B testing and other experimentation methodologies
Excellent problem-solving skills and attention to detail, with a passion for delivering high-quality products.
Knowledge of credit card products and the broader financial services landscape is a plus.
Experience with AI chatbot platforms and tools is highly desirable.

Please apply if you are a AI Product Manager!

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Feb 9, 2026

Careers

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

Feb 2, 2026

Jobs

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

Jan 23, 2026

Education

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.