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

Apply Now

Product Manager

Formula Recruitment
Sheffield
8 months ago
Applications closed

Related Jobs

View all jobs

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

Product Manager, AdTech and Machine Learning

Technical Product Manager - Data Science

Senior Manager Data Science and Analytics

Data Science Manager – Experimentation: Innovation & Research

Machine Learning Engineering Manager

Product Manager | Analytics & Reporting

Salary: up to £70,000 (plus 10% bonus and benefits)

London / Midlands | Hybrid


Formula is proud to be working with a leading high street retailer, who is dedicated to providing exceptional products and services that enhance their customers’ well-being. With a strong heritage, and an ambitious new growth strategy to double down on digital, it’s an exciting time to be joining!


They are seeking a dynamic and experienced Product Manager to join the team, focusing on Analytics and Reporting across the business. As the Product Manager, you will play a crucial role in driving insights and decision-making through data-driven analytics and reporting solutions. You will collaborate closely with cross-functional teams, touching every area within the business, helping to define product requirements, prioritize features, and shape the data-driven side of the team.


Who are you?

• 3-5 years experience in a Product Management role, ideally with a data analytics or platform focus

• Comfortable working with and speaking to data and analytics teams

• Exceptional stakeholder management skills are going to be key in this role and influencing

• Strong understanding of analytics platforms, data visualization tools, and reporting methodologies.

• Experience with Agile development methodologies and tools (e.g., JIRA, Confluence).

• Exceptional communication and interpersonal skills, with the ability to collaborate effectively across teams


Key Responsibilities:

• Work closely with stakeholders to gather requirements and translate them into actionable product features and enhancements.

• Conduct workshops with business teams to gather requirements and understand the scope of new features

• Collaborate with engineering, data science, and business analytics teams to deliver scalable and efficient solutions.

• Define and understand key performance indicators (KPIs) and metrics to measure the success and effectiveness of analytics products.

• Monitor product performance and user feedback, continuously iterating and improving based on insights and data-driven decisions.

• Stay updated with industry trends and best practices in analytics and reporting tools, bringing innovative ideas to the team.


Offices and hybrid working culture:

The company works with a hybrid working culture. The significant majority of the technology and product organisation are co-located in their HQ, enabling regular in-office working collaboration and team building and socials.


Benefits:

• Retirement savings plan

• 10% annual bonus

• Generous discount scheme

• Access to free 24/7 counselling support

• Discounted gym membership

• Life assurance

• Enhanced maternity/paternity/adoption leave pay


The Interview process:

• Screening with Product Consultant from Formula: 30 minutes

• Meeting with Hiring Manager: 30 minutes

• Panel interview with Senior Leadership team 45-60 minutes


This is a fantastic opportunity for a Product Manager to move into a well-established business and have the chance to shape how data-driven decision-making is made within the team.


Unfortunately, due to the high volume of applications, not all submissions will receive feedback.

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.