Chief Product Officer _ · UK · Hybrid Remote (Basé à London)

Jobleads
London
1 year ago
Applications closed

Related Jobs

View all jobs

Lead Data Scientist

Data Scientist

Lead Site Reliability Engineer - DataOps

Machine Learning Scientist - Cars

2026 Machine Learning Center of Excellence (NLP) - Summer Associate

Artificial Intelligence Engineer - Fitness & Health

EveryMatrixis a leading B2B SaaS provider delivering iGaming software, content and services. We provide casino, sports betting, platform and payments, and affiliate management to200 customers worldwide.

We are looking for a Chief Product Officer to join our team in London!

Salary Range:£100.000 - £120.000 annually, based on experience and qualifications.

About the job:

We are seeking an experienced Chief Product Officer to drive our CRM product strategy, vision, and execution. In this role, you will lead a dynamic team of product managers, business analysts, and designers to build a solution which will help our clients enhance player engagement, optimize customer interactions, and provide deep analytics and personalization.

Key Responsibilities:

  • Develop a clear product vision and strategy that aligns with both customer needs and the company’s business goals, ensuring scalability and alignment with technology trends.
  • Build and scale product teams, ensuring the right talent is in place to execute the product vision.
  • Own the end-to-end product lifecycle, from ideation and development to launch, and ensure successful execution.
  • Ensure that products are launched on schedule and meet high-quality standards by guiding cross-functional teams through the product lifecycle.
  • Partner with engineering, data science and AI teams to develop features that leverage cutting-edge technology, such as AI personalization, machine learning models for player behaviour predictions, and data analytics tools.

Requirements:

  • 10+ years of experience in product leadership roles, with a proven record of driving successful product strategies and execution.
  • Proven track record in product management and strategy within the gambling industry.
  • Experience with CRM technologies, customer data platforms (CDP’s), and AI/ML integrations.
  • Familiarity with data analytics, automation technologies and AI/ML as applied to player interaction platforms.
  • Experience in using different product management techniques to drive product success.
  • Strong leadership skills with experience in managing cross-functional teams.
  • A strategic thinker with a keen ability to innovate and adapt products to meet evolving customer needs and market conditions.
  • Customer-centric approach with a focus on delivering exceptional user experiences.

What we offer:

  • 25 days of annual leave.
  • 5 days of sick leave.
  • Access to learning resources (Udemy, LinkedIn, O’Reilly).

At EveryMatrix, we're committed to creating a supportive and inclusive workplace where you can thrive both personally and professionally. Come join us and experience the difference!

#J-18808-Ljbffr

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

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

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

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.

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.

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.