CUBE are a global RegTech business defining and implementing the gold standard of regulatory intelligence for the financial services industry. We deliver our services through intuitive SaaS solutions, powered by AI, to simplify the complex and everchanging world of compliance for our clients.
Why us?
🌍 CUBE is a globally recognized brand at the forefront of Regulatory Technology. Our industry-leading SaaS solutions are trusted by the world’s top financial institutions globally.
🚀 In 2024, we achieved over 50% growth, both organically and through two strategic acquisitions. We’re a fast-paced, high-performing team that thrives on pushing boundaries—continuously evolving our products, services, and operations. At CUBE, we don’t just keep up we stay ahead.
🌱 We believe our future is built by bold, ambitious individuals who are driven to make a real difference. Our “make it happen” culture empowers you to take ownership of your career and accelerate your personal and professional development from day one.
🌐 With over 700 CUBERs across 19 countries spanning EMEA, the Americas, and APAC, we operate as one team with a shared mission to transform regulatory compliance. Diversity, collaboration, and purpose are the heartbeat of our success.
💡 We were among the first to harness the power of AI in regulatory intelligence, and we continue to lead with our cutting-edge technology. At CUBE, You will work alongside some of the brightest minds in AI research and engineering in developing impactful solutions that are reshaping the world of regulatory compliance.
Purpose:
This is fundamentally a product builder role responsible for defining and building great products across CUBE. We’re looking for someone who gets hands-on: prototyping ideas quickly, running discovery with customers and staying close to the work through delivery. Someone who uses AI and agentic tooling as a personal force multiplier, ships with pace, and raises the bar on what the team can produce. Product decisions are grounded in what regulated institutions actually need, not just what they ask for, and success is measured in customer outcomes, not feature count.
What You’ll Do:
Own your product area end to end: from understanding the problem and shaping the solution through delivery, launch, and iteration.
Get close to customers and the problem space: run discovery interviews, dig into usage data, and develop a sharp, evidence-based point of view on what to build and why.
Prototype ideas early and often: use AI-generated prototypes, or whatever it takes to make an idea tangible, test assumptions fast, and avoid building the wrong thing.
Use AI and agentic tooling as a personal force multiplier: faster research, faster prototyping, faster requirements and help the team around you do the same.
Write detailed, well-reasoned requirements that give engineering and design exactly what they need. Define success metrics upfront and track them through to delivery.
Stay close to the work through delivery: collaborate daily with engineering and design, unblock problems quickly, and coordinate launches including enablement and go to market.
Make confident scope, quality, and timeline trade-off calls: staying decisive with incomplete information and keeping the team moving.
Communicate product plans and progress clearly to stakeholders and leadership, with the confidence to defend prioritisation decisions.
What You’ll Bring:
Builder Mindset & Bias to Action: prototypes, tests, and ships with pace, staying decisive with incomplete information rather than waiting for certainty.
AI & Agentic Tooling Fluency: hands on with AI assistants, LLMs, and agentic tooling to move faster, and brings the team along in adopting them.
Strong product management experience in B2B SaaS, enterprise software, or technology platforms, with a clear track record of owning and shipping product, not just supporting it.
Demonstrated track record of defining what to build (not just executing on someone else’s roadmap) and shipping it through to measurable customer outcomes.
Proven experience running customer discovery and turning insight into sharp product decisions comfortable going direct to customers, not just working through intermediaries.
History of working effectively with engineering, design, and commercial teams in an agile environment on complex, multi-stakeholder products.
Comfort with data-informed decision-making: defining metrics, analysing product performance, and using evidence to prioritise.
Domain Knowledge (Desirable):
Understanding of operational risk, regulatory compliance and the likely customer challenges in the RegTech sector.
Interested?
If you are passionate about leveraging technology to transform regulatory compliance and meet the qualifications outlined above, we invite you to apply. Please submit your resume detailing your relevant experience and interest in CUBE.
CUBE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.