Product Operations Manager

Slough
1 month ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Principal Data Engineer

Master Data Engineer

Data Product Manager

Senior Analytics Manager

Commercial Manager

Product Operations Manager - Customer Value and AI

UK Hybrid - Slough

Competitive plus Bonus and Benefits

We have an exciting opportunity for a Product Operations Manager to join us responsible for Customer Value and AI.

In this role you will drive the adoption of AI-driven efficiencies and insights across product management teams. Reporting into Product Operations, this role is responsible for enabling AI powered innovation, ensuring that AI solutions improve internal efficiencies, streamline the development lifecycle, and enhance decision-making through AI-driven insights.

A key aspect of this role is leading AI Innovation Labs, fostering a culture of continuous proof of concept work that contributes to meaningful AI-powered solutions. You will collaborate with internal teams and external AI technology partners to ensure cutting-edge AI capabilities are integrated into product development.

By leveraging leading AI technologies, this role will support teams in embedding AI meaningfully into products, enhancing automation, insights, and operational excellence.

This position will work closely with product management, engineering, data science, and other cross functional teams to embed AI into everyday workflows. The role requires a strong strategic mindset, a customer-centric approach, and the ability to translate AI capabilities into business impact.

What will you be doing?

  • Define and execute the AI strategy within Product Ops to enable product teams in leveraging AI for internal efficiency and insights

  • Identify opportunities to integrate AI-powered solutions that streamline development processes and enhance data-driven decision-making

  • Collaborate with product teams to embed AI into feature development, ensuring alignment with internal efficiency goals and customer needs

  • Lead the creation and management of AI Innovation Labs, facilitating rapid testing and validation of AI-driven concepts that improve the development lifecycle

  • Work closely with engineering and data science teams to scope, design, and implement AI solutions that optimise workflows

  • Partner with leading AI technology providers to bring cutting-edge advancements into product development

  • Develop AI-driven insights that empower teams to make more informed product and business decisions

  • Translate AI advancements into clear business cases, securing stakeholder buy-in for new initiatives

  • Monitor AI performance, measure success, and iterate on AI-driven initiatives to maximise impact.

  • Communicate the AI roadmap and key developments to internal stakeholders, ensuring transparency and alignment

    What we are seeking

    The ideal candidate is an AI enthusiast with a strategic mindset and a strong product management background. They should be highly analytical, detail-oriented, and customer focused, with experience in AI-driven product development. The ability to communicate complex AI concepts in a straightforward manner and collaborate effectively across teams is essential.

    Qualifications

  • Bachelor's or Master's degree in Computer Science, Data Science, AI, Machine Learning, or a related technical field

  • Proven experience in product management, AI implementation, or AI-driven business transformation

  • Hands-on experience with AI/ML technologies, automation, or data analytics

  • Experience working with engineering, data science, and technology partners to drive AI adoption

  • Understanding of AI ethics, governance, and compliance considerations.

  • Certifications in AI or data analytics (e.g., Google AI, Microsoft AI, AWS Machine Learning) are desirable

    Knowledge and Experience

  • Proven experience as a Product Manager with a focus on AI, data-driven insights, or related technical domains

  • Strong understanding of AI technologies and their application in software development and decision-making

  • Ability to identify, define, and prioritise AI-driven opportunities based on business impact

  • Experience in implementing AI to improve development lifecycle efficiency and team productivity

  • Excellent stakeholder management skills, with the ability to bridge technical and non-technical teams

  • Analytical mindset with experience using data to support decision-making

  • Strong commercial awareness and understanding of how AI contributes to business growth

  • Passion for customer-centric innovation and improving product experiences through AI

  • Excellent planning, organisational and communication skills

    Please note:

    We occasionally close vacancies early in the event that we receive a high volume of applications. Therefore we recommend you apply as soon as possible

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Jobs

How to Write a Winning Cover Letter for Machine Learning Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for machine learning jobs with this proven 4-paragraph structure. Ideal for entry-level candidates, career switchers, and professionals looking to advance in the machine learning sector. When applying for a machine learning job, your cover letter is a vital part of your application. Machine learning is an exciting and rapidly evolving field, and your cover letter offers the chance to demonstrate your technical expertise, passion for AI, and your ability to apply machine learning techniques to solve real-world problems. Writing a cover letter for machine learning roles may feel intimidating, but by following a clear structure, you can showcase your strengths effectively. Whether you're just entering the field, transitioning from another role, or looking to advance your career in machine learning, this article will guide you through a proven four-paragraph structure. We’ll provide practical tips and sample lines to help you create a compelling cover letter that catches the attention of hiring managers in the machine learning job market.

Jobs Careers

Veterans in Machine Learning: A Military‑to‑Civilian Pathway into AI Careers

Introduction Artificial intelligence is no longer relegated to sci‑fi films—it underpins battlefield decision‑support, fraud detection, and even supermarket logistics. The UK Government’s 2025 AI Sector Deal forecasts an additional £200 billion in GDP by 2030, with machine‑learning (ML) engineers cited as the nation’s second most in‑demand tech role (Tech Nation 2024). The Ministry of Defence’s Defence AI Strategy echoes that urgency, earmarking £1.6 billion for FY 2025–28 to embed ML into planning, logistics, and autonomous systems. If you have ever tuned a radar filter, plotted artillery trajectories, or sifted sensor data for actionable intel, you have already worked with statistical modelling—the backbone of machine learning. This guide shows UK veterans how to reframe military experience for ML roles, leverage MoD transition funding, and land high‑impact positions building the models shaping tomorrow’s defence and commercial landscapes. Quick Win: Bookmark our live board for Machine‑Learning Engineer roles to see who’s hiring today.

Jobs

Rural-Remote Machine Learning Jobs: Finding Balance Beyond the Big Cities

Over the past decade, machine learning (ML) has transformed from a niche research domain into a pervasive technology underpinning everything from recommendation systems and voice assistants to financial forecasting and autonomous vehicles. Historically, the UK’s major tech hubs—particularly London—have been magnets for top ML talent and corporate headquarters. However, remote work has become mainstream, and many ML professionals are realising they can excel in their field while living far beyond the city limits. At MachineLearningJobs.co.uk, we’ve observed a growing interest in positions that allow for a rural lifestyle or a coastal environment, often reflected in search terms like “ML remote countryside” or “tech jobs by the sea.” This surge is no coincidence. Flexible work policies, better rural broadband, and the nature of machine learning tasks—much of which can be done through cloud platforms—are bringing new opportunities to those who wish to swap urban hustle for fresh air and scenic views. Whether you’re a data scientist, ML engineer, researcher, or product manager, a rural or seaside move could reinvigorate your work-life balance. In this article, we’ll unpack why rural-remote ML jobs are on the rise, how you can navigate the challenges of leaving the city, and what you need to do to thrive in a machine learning career beyond the M25. If you’ve dreamt of looking up from your laptop to rolling fields or ocean waves, keep reading—your rural ML role might be closer than you think.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.