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

Apply Now

Product Manager

Sunderland
6 months ago
Applications closed

Related Jobs

View all jobs

Product Manager – Data Engineering & Reporting (Retail)

Senior Manager, Data Engineering Product & Portfolio

Engineering Manager - Data Science Team

Data Engineering Manager (Analytics Engineering and BI)

Data Engineering Manager (Analytics Engineering and BI)

Data Engineering Manager (LTV and MarTech)

Product Manager

Salary: Market Leading + Bonus + Exceptional Benefits

Location: Sunderland

My client is a rapidly growing FTSE-listed international organisation, who we are supporting with their exciting growth plans across a number of key areas, including a very well-established software solution aimed at the Professional Services sector, which they already deliver to 1,000+ customers across 150 countries.

Key to their growth is appointing a Product Manager who will be responsible for the creation of digital offerings to their clients - this is a high profile, exciting role reporting directly into the MD, which would suit someone who enjoys cradle to grave new product delivery. You will be a naturally curious individual who is interested in new and emerging technologies with demonstrable success in delivering new software products, that delight customers, on time and within budget.

The Role

  • Full end-to-end responsibility for the creation of digital offerings to their clients

  • Define and drive the strategic product vision for their solutions, ensuring alignment with business objectives and market leadership position

  • Gathers requirements from customers, users and stakeholders

  • Orchestrate customer workshops and advisory boards to gain insights into evolving market needs, translating these insights into strategic product initiatives

  • Lead market analysis to identify untapped opportunities and develop innovative approaches that position their solutions at the forefront of their industry

  • Establish and maintain a forward-looking product roadmap that balances immediate customer needs with long-term strategic positioning and technological innovation

  • Champion the integration of emerging technologies such as AI, machine learning and advanced analytics to enhance data processing, reporting capabilities and predictive insights

    The Person

  • Demonstrable experience of delivering new software products that achieve revenue targets, on time and within budget

  • Experience of successful software / application delivery from concept to implementation

  • Experience of working with C Suite to influence buying decisions with well thought out business cases

  • Strategic thinker with ability to produce excellent product vision and roadmap

  • Experience of working with AI

  • Open to corporate or SME experience, but must have exposure to and comfort working in fast-paced agile environments

  • Entrepreneurial – seeks and identifies opportunities to maximise value for the end user and the business

    Based at their Sunderland office, the package is market leading, will be tailored around the appointed individual and is intended to attract and retain leading talent, including a compelling base, rewarding OTE + exceptional benefits.

    This is a fantastic opportunity to join a leading organisation at an exciting time with genuine opportunities for career development and progression

    If you feel you have the qualities our client is seeking, please forward your CV and covering letter indicating your current package to Ian Miller at GEM Partnership or for a discreet conversation call our Peterlee office.

    GEM Partnership are acting as an employment agency on this vacancy

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.

Jobs

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Jobs

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

🍪 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.