Hybrid Product Manager, Platform AI

at GTreasury

• Job title: Product Manager, Platform AI
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Location requirements: Hybrid, London, United Kingdom

About the role

• Product Manager for AI at GTreasury driving AI/ML integration in treasury operations. Leading product vision for cash forecasting, liquidity optimization, and risk analytics.

Responsibilities

• Define and deliver the AI/ML vision and roadmap across cash forecasting, liquidity optimization, fraud detection, payment intelligence, and risk analytics
• Identify high-impact opportunities to apply AI with clear customer ROI using user research, data analysis, and market insights
• Partner with AI engineers and data scientists to shape model behavior, evaluate performance, and guide implementation decisions
• Translate complex data science capabilities into intuitive product experiences that enhance (not replace) treasury workflows
• Champion accuracy, explainability, compliance, and operational confidence in every AI feature
• Lead agile delivery with design and engineering, maintaining a clear and prioritized backlog for AI-powered features
• Act as the voice of the customer, ensuring AI solutions address real treasury needs and integrate seamlessly into existing workflows
• Work with product peers to embed AI capabilities across the GTreasury platform (payments, cash management, risk, etc.)
• Monitor emerging AI technologies, regulatory considerations (AI governance, bias, transparency), and competitive landscape
• Define success metrics for AI features and continuously optimize based on model performance, user feedback, and business impact
• Create internal and external enablement materials that build confidence in AI-driven insights and recommendations

Requirements

• 5+ years in product management, ideally in SaaS, fintech, or enterprise platforms
• Experience working on data-driven or AI-enhanced products with demonstrated understanding of ML concepts, predictive modeling, and analytics
• Strong knowledge of treasury operations including cash management, forecasting, payments, liquidity, and risk management
• Proven ability to launch and scale new products or AI-powered features from concept to adoption
• Experience collaborating closely with data scientists, ML engineers, and AI teams
• Agile development familiarity and comfort working in fast-paced, global environments
• Ability to evaluate AI model performance, understand limitations, and make informed product trade-offs
• High empathy for users paired with strong analytical and decision-making skills
• Excellent communication skills — can explain AI capabilities and limitations to both technical and non-technical audiences.

Benefits

• Great benefits and culture
• Professional development opportunities
• Open collaboration and problem solving
• High impact, high visibility role