Product Manager, Platform AI (Hybrid)

GTreasury•London, CA

27d•Hybrid

About The Position

GTreasury empowers CFOs and treasurers with the clarity to act — delivering connected, intelligent solutions for cash forecasting, liquidity management, payments, netting and risk. As our new Product Manager for Platform AI, you'll lead the integration of artificial intelligence and machine learning across our global SaaS platform, transforming how finance teams forecast cash, detect anomalies, optimize liquidity, and automate decision-making. This is more than a roadmap role. We're looking for a strategic, hands-on product leader who understands both treasury operations and AI capabilities, thrives at the intersection of finance and technology, and wants to reimagine how intelligent automation can elevate the Office of the CFO in an API-first, data-driven, real-time world. What We’re Looking For: A product thinker who acts like an owner, balances innovation with pragmatism, and focuses on measurable business outcomes A strategic executor who can articulate AI vision, translate complex capabilities into user value, and work closely with data science and engineering teams A customer-obsessed collaborator who understands treasury pain points and partners across go-to-market, design, and delivery teams to solve meaningful problems

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

Nice To Haves

Background in treasury, corporate finance, FP&A, or financial operations
Hands-on experience with Generative AI applications, including Large Language Models (LLMs), prompt engineering, and AI architecture patterns
Familiarity with AI infrastructure, data pipelines, model deployment, and MLOps concepts
Understanding of regulatory frameworks affecting treasury and AI (SOX, GDPR, AI governance standards)
Experience with time-series forecasting, anomaly detection, NLP, or other AI applications relevant to financial services

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

Benefits

A high impact, high visibility role at a growing SaaS company that values personal growth, accountability, and the concept of “good work.”
A great management team and reporting structure that supports you and your growth.
A culture of open collaboration and problem solving
An empowered role on the success team, responsible for driving business value.
Great benefits and culture.

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