Senior Product Manager - Data in London

About RedCloud

The global supply chain is broken—creating a $2 trillion inventory gap where essential consumer goods fail to reach the people who need them. Brands miss sales, distributors mismanage stock, and retailers face empty shelves. The result? Higher prices, slower growth, and lost opportunity across the board. RedCloud is fixing this. Our RedAI digital trading platform, bulk and retail trading exchanges connect key parts of the supply chain—enabling bulk inventory exchange, streamlined digital payments, and generating vast quantities of aggregated market data. By applying AI and machine learning techniques, we deliver predictive market insight and trading recommendations straight back to the trading environment—facilitating smarter everyday business decisions for our customers, from factory to warehouse to store.

Headquartered in London, RedCloud became a publicly listed company on Nasdaq (RCT) in March 2025. With a diverse team spanning many nationalities and operations across Africa, the Middle East, Europe, and Latin America. We’re building a more connected and efficient global trade network. Our AI labs are busy exploring the next generation of smart AI agents and deeper FMCG market intelligence for the benefit of our customers across a growing operational footprint.

The role:

We’re looking for a hands-on, technically curious Product Manager to join our Data & AI team, the group building the intelligence layer of RedCloud's supply chain operating system. Our platform generates vast quantities of trading data across emerging markets from transaction flows and inventory signals to pricing patterns and demand indicators. Your job? Turn that data into products that create real value: predictive insights, AI-powered recommendations, and monetisable data services for brands, distributors, and partners across the ecosystem.

This isn’t a feature factory. We’re building foundational data infrastructure and AI capabilities from the ground up which means you’ll be deep in the weeds on data pipelines, model outputs, and product-market fit simultaneously. You should be as comfortable debating data schemas, embeddings, and unstructured data challenges as you are shaping commercial strategy.

What We’re Looking For:

• You’ve worked hands-on with AI/ML products not just managing them from a distance.
• You understand the difference between a fine-tuned model and a RAG pipeline.
• Expertise shipping LLM-powered features, and you know when to reach for a simple heuristic versus a complex model.
• Experience with structured and unstructured data is essential you’ve dealt with messy real-world data and know how to make it useful.

We move fast here. You should be someone who uses AI tools daily to accelerate your own work — whether that’s prototyping with code, spinning up quick analyses, or stress-testing ideas before they hit engineering. We value builders who ship over planners who polish.

Why You’ll Love Working Here:

• Purpose-driven mission: we’re transforming how trade happens across emerging markets, making it more transparent, efficient, and inclusive.
• Collaborative culture: you’ll work with talented engineers, designers, and operators who value empathy, learning, and excellence.
• Real ownership: define and lead your product area with autonomy and support from a growing team.
• Learning & growth: access to mentorship, leadership coaching, and opportunities to shape a fast-scaling product organisation.

Benefits

Working with a pioneering provider of eCommerce solutions you will have the opportunity to join an international company who are growing massively, we encourage ambition and creativity.

• 25 Days Annual leave, increasing to 26 days after 12 months in the business
• Enhanced Company Pension (Matched up to 5% & Salary Sacrifice)
• Healthcare Cashplan with Medicash
• Private Healthcare with Aviva
• Life Insurance with AIG
• Happl, our benefit platform which provides access to pre-negotiated discounts on a wide variety of services including entertainment, food, and fitness.
• Stock / Equity

Even if you don’t meet every requirement, we still encourage you to apply. Your unique experiences and perspectives might be just what we’re looking for.