Product Management Specialist at Honeywell, managing product lifecycles for safety technologies and delivering expert training programs.
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
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Location requirements
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