Product Manager, AI

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.

Role Mission

The AI product team is situated at the intersection of the machine learning and regulatory subject matter expert teams. The team bridges the gap between these two subteams—everyone on them is part of the broader AI team at CUBE. This union of domain expertise with machine learning expertise is one of CUBE’s core differentiators.

This role will ensure that our AI product suite delivers output of sterling quality and provides maximum value to our users, by driving the creation of expert and user-in-the-loop feedback systems.

AI products at CUBE are APIs that are consumed by our content and consumer engineering platforms. They span three main areas:

1. Content capture and structure

2. Content enrichment

3. Learning from user (inter)actions

You will work across all three of these areas and drive the end-to-end product development process, from discovery through to testing and delivery. You will also influence the roadmap for improvements, working closely with the Head of Product for AI.

Responsibilities

• Manage the end-to-end discovery, testing, and delivery process for AI products, working closely with our machine learning, regulatory subject matter expert, customer, and software engineering teams

• Oversee model training, validation, and testing processes, by establishing rigorous reviewer guidelines, recruiting the appropriate domain experts, and determining sampling strategy/size

• Deeply understand the pain points felt by our compliance users, especially as they relate to the output of AI products

• Monitor the performance of our AI products, and use the results to propose and drive forward enhancements

• Define and review the production of AI product marketing collateral to support the go-to-market teams

• Reduce information silos between our machine learning and regulatory subject matter expert teams

• Provide input for the global AI roadmap, working closely with the Head of Product for AI ​

• Stay up-to-date with both regulatory and AI trends
  

What We're Looking For:

• Experience with building AI SaaS products from ideation to launch, especially those involving NLP and NLU

• Proficiency in Python for data analysis, Excel, and SQL (fluency in data)

• Ability to collaborate with multiple stakeholders and crossfunctional teams (data science/machine learning, engineering, subject matter experts, customer services, sales, marketing)

• Exceptional written and verbal communication skills

• Proficiency in diagram creation and visualisations (especially important in a remote-first organisation)

• Obsession with documentation ​

• Experience with Confluence and Jira

• Attention to detail without compromising on the big picture

Desirable:

• Hands-on data science and/or machine learning engineering experience (bonus points for experience with large language models)

• Understanding of API design

• Proficiency with data visualisation techniques (for dashboarding, reporting, etc.)

• Proficiency with wireframing / design tools such as Figma and Balsamiq

• A healthy appetite for applying ML to the legal and regulatory domain

• Experience in high-growth startups or scaleups (fast-paced environments)

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.