Principal Product Manager

Responsibilities

• Define the end-to-end strategy and roadmap for Core Procurement, including requisitions, POs, approvals, and receiving
• Drive the transition from manual, forms-based workflows to AI-assisted, intent-driven purchasing experiences
• Partner with the AI Center of Excellence and Data teams to integrate intelligent features into transactional workflows
• Reimagine enterprise spend-data experiences through embedded analytics dashboards and predictive models
• Help CPOs and finance leaders forecast spend, identify cost-saving opportunities, and mitigate supplier risk in real time
• Make high-stakes architectural trade-off decisions with Principal Architects
• Ensure calculation engines, data pipelines, and analytics frameworks are scalable, performant, and future-proof
• Align distributed Engineering, UX, Data Science, and Go-To-Market teams
• Mentor Senior and Mid-level Product Managers
• Lead customer empathy interviews, validate analytics use cases, and present roadmap visions at executive briefings

• 10+ years of enterprise software Product Management experience
• Proven track record operating at a Principal, Lead, or Group PM level within B2B SaaS
• Absolute fluency in global enterprise procurement life cycles, financial compliance, spend controls, ERP's, and supply chain operations
• Demonstrable experience bringing Machine Learning, Generative AI, or advanced Data Analytics products to market
• Deep understanding of predictive models, recommendation engines, and embedded BI dashboards
• Comfort with large-scale data architectures, API integrations, technical constraints, and complex algorithmic logic
• Proven ability to influence global, cross-functional teams and executive stakeholders without direct reporting authority

Demonstrates expertise in defining procurement strategies and integrating AI-driven solutions into enterprise workflows. Proficient in managing cross-functional teams and leveraging advanced analytics to optimize spend and supplier risk management.

• Enterprise Software Product Management
• Global Enterprise Procurement Life cycles
• Machine Learning Product Development
• Predictive Models and Analytics
• Cross-Functional Team Influence

• Product Management
• Data Analytics
• Predictive Modeling
• API Integration
• Financial Compliance
• Spend Controls
• Supply Chain Operations
• Machine Learning
• Generative AI
• Embedded BI Dashboards

• Mentoring
• Customer Empathy
• Stakeholder Influence

• B2B SaaS
• Enterprise Procurement
• Spend Data Analytics
• Cost-Saving Opportunities
• Supplier Risk Mitigation

• ERP Systems
• Analytics Frameworks
• Data Pipelines
• Architectural Trade-offs