Chief Product Officer

Aveni

Edinburgh

1 year ago

Applications closed

Related Jobs

View all jobs

Applied AI and Machine Learning Scientist - Senior Associate

This is a remote position.

Are you an innovative leader ready to shape the future of product development in a fast-growing, award-winning technology company? Do you have a passion for leveraging AI to drive growth and deliver exceptional value in target markets? If so, we want to hear from you!

Aveni leverages advanced AI, including Natural Language Processing (NLP) and Large Language Models (LLMs), to drive enterprise-wide productivity and compliance in the financial services sector. We are seeking a Chief Product Officer (CPO) to lead our mission of transforming the industry with cutting-edge AI-powered tools.

We are searching for a Chief Product Officer (CPO) to join our dynamic team. This is a pivotal role, responsible for elevating the product function to its full potential, while driving innovation and market impact.

About the Role:

As CPO, you will define and execute a forward-thinking product strategy, steering the product team to develop solutions that align with Aveni’s vision and exceed client expectations. Your leadership will be instrumental in driving product innovation, ensuring alignment across business objectives, and fostering a culture of excellence.

What You’ll Do:

Strategic Vision: Shape and deliver a product roadmap aligned with Aveni’s business goals and market opportunities.
Product Development: Oversee the product lifecycle from ideation to launch, ensuring timely and high-quality releases.
AI Expertise: Leverage advancements in AI and NLP to deliver innovative solutions, keeping Aveni at the forefront of technology.
Customer-Centric Approach: Actively engage with clients and integrate their feedback to meet market needs and challenges.
Collaboration & Communication: Partner with Sales, Marketing, and Customer Success teams to optimize product positioning and go-to-market strategies.
Leadership: Build and inspire a high-performing product team, fostering diversity and inclusion while mentoring team members.

Requirements

What We’re Looking For:

Significant experience in Product Management, ideally in scaling or enterprise organisations.
Proven track record in developing and launching complex software products.
Expertise in B2B environments, preferably within financial services.
A passion for AI with a strong understanding of its application in product development.
Exceptional leadership, communication, and analytical skills, with a customer-first mindset.
Experience scaling businesses from Series A to pre-IPO is highly desirable.
A strategic mindset paired with a hands-on approach to solving complex challenges.
A track record of driving growth and creating value in target markets.

Benefits

What We Offer:

Competitive salary and share options.
34 days holiday plus your birthday off.
Private healthcare
Flexible and remote working options.
Career development opportunities and ongoing training.
Discounts, emotional well-being programs, and access to fitness resources.
A diverse, inclusive, and innovative work environment.

Why Join Us?

This is a unique opportunity to shape the future of our product strategy and make a lasting impact on our organisation. You’ll have the freedom to innovate and lead in a role that values creativity, strategic thinking, and collaboration.

If you're an ambitious product leader with a passion for B2B innovation and AI, we’d love to hear from you.

Apply today to join a company where your expertise will drive meaningful change and significant value.

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.