Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Product Manager

Chiswick
6 months ago
Applications closed

Related Jobs

View all jobs

Product Manager, AdTech and Machine Learning London, UK • Advertising Technology +1 more • Prod[...]

Principal Product Manager, Data Science & Machine Learning

Senior Product Manager - Machine Learning and AI

Technical Product Manager - Data Science

Senior Manager Data Science and Analytics

Data Science Manager – Experimentation: Innovation & Research

Product Manager - Data & Analytics, Up to £90,000 + £7000 Car Allowance + 15% Bonus + Great Benefits, Hybrid Working, Global FMCG Company with amazing culture.

Overview of the Product Manager:

Are you ready to step into a role where you don’t just manage products - you create movements through data? Where you don’t just build roadmaps- you chart the course for innovation across some of the most respected brands in the market?

We’re looking for a visionary Product Manager to lead our clients Data & Analytics portfolio - someone who thrives in complexity, commands collaboration, and believes that data is destiny when it comes to smart decision-making.

If you’ve got the drive to deliver massive value, the passion to empower teams, and the mindset to turn data into opportunity, keep reading. Your next level starts here.

What Will You Be Driving?



Cast a Vision, Lead the Charge: Define and articulate a crystal-clear product vision and strategy that ignites the hearts of stakeholders and aligns with the company’s big-picture ambitions.

*

Unify Forces: Partner with data scientists, engineers, business analysts, and senior leaders to turn needs into outcomes, problems into progress, and ideas into innovations.

*

Own the Backlog, Own the Momentum: Prioritise high-impact features that move the needle and keep the team focused on what matters most.

*

Guide with Confidence: Provide technical clarity and support, ensuring your data products are robust, scalable, and built for growth.

*

Champion Integration: Seamlessly unify data streams from across the business to create a single source of truth that fuels insight and action.

*

Track What Matters: Design and monitor KPIs that measure real business impact - not just vanity metrics.

*

Empower Users: Lead training and support that turn end-users into evangelists for your products.

*

Partner Like a Pro: Manage third-party vendors and delivery partners with precision, ensuring excellence at every level of service.

*

Stay Ahead of the Curve: Tap into the latest trends in analytics, AI, and machine learning - and bring the future into today’s roadmap.

What You Bring to the Table

*

Education or Experience That Counts: A degree in Computer Science, Data Science, or something similar - or equivalent industry mastery.

*

Battle-Tested in the Data Arena: At least 5 years of experience as a Product Owner or Technical Product Manager, with a deep love for all things data.

*

Tech Know-How: Solid understanding of data warehousing, ETL, analytics, and visualisation tools. SQL, Python, or similar languages? Even better.

*

Leadership Mojo: You inspire, influence, and energize teams - whether you’re leading directly or through matrix structures.

*

Problem-Solving Powerhouse: You see challenges as fuel. You think fast, adapt faster, and get results.

*

Agile All-Star: You live and breathe Agile/Scrum principles and know how to bring the best out of any squad.

This Isn’t Just Another Role…

This is your chance to be the driving force behind a data revolution. To lead with purpose, build with passion, and deliver with excellence.

So if you're ready to elevate your impact, sharpen your edge, and lead with vision—then we want to meet you.

Step up. Take ownership. Create change.

Apply now and let’s make extraordinary happen

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 to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.