Own product strategy, roadmap, and performance for back-office systems (Salesforce, Zuora, Microsoft Dynamics) and related internal platforms
Incorporate AI/ML-powered features such as predictive analytics, workflow automation, and intelligent recommendations
Prioritize system enhancements to streamline onboarding, sales, customer support, service delivery, and internal workflows
Define, manage, and communicate roadmaps balancing quick wins with long-term platform evolution
Partner with Engineering, Admin, and Operations to design and deliver AI/ML-driven capabilities
Ensure system designs are scalable, configurable, and integrated with other product and service delivery systems
Serve as the voice of internal platform users and gather insights from GTM, Customer Success, and operations
Identify opportunities to automate repetitive tasks, improve reporting, and surface actionable insights
Partner with analytics teams to ensure system-generated data supports operational and customer-facing intelligence
Collaborate cross-functionally to ensure AI-enabled system changes are adopted, and support training and enablement
Define and monitor KPIs for AI-powered efficiency gains, system adoption, and operational impact
Provide executive-level updates on system performance, roadmap progress, and measurable AI-driven outcomes
Lead key outcomes including Dynamics-to-Salesforce migration, deploying AI/ML enhancements, automation workflows, AI-powered reporting, and governance model establishment
Requirements
5+ years of product management experience, ideally in enterprise systems or back-office platform ownership (Salesforce experience strongly preferred)
Experience with Zuora and Microsoft Dynamics helpful
Proven success in delivering AI/ML-driven capabilities that improve efficiency, data quality, and business outcomes
Strong understanding of workflow design, automation, and intelligent system integration in a B2B SaaS environment
Experience with Salesforce administration or architecture (certification a plus)
Skilled at translating business requirements into AI-powered technical solutions and managing complex stakeholder needs
Excellent cross-functional collaboration and communication skills, including with executive stakeholders
Experience in PE-backed, multi-product SaaS environments preferred