Principal Product Manager, Data & AI Platforms

As a Principal Product Manager, Data & AI Platforms at Smartsheet, you will serve as a visionary leader, responsible for the strategic direction and execution of our foundational data ecosystem. You will treat our data and AI infrastructure as a premier product, ensuring it is of high quality, architected for massive scale, and directly aligned with Smartsheet’s mission-critical business and advanced AI objectives. This is a high-impact role that bridges engineering excellence with measurable business value, driving the democratization of data and the enablement of advanced AI capabilities across the global organization.

You Will:

• Drive Strategic Alignment: Lead the alignment of data governance and AI-driven use cases across Engineering, Product, and Business organizations to ensure unified goals, rigorous prioritization, and clear scoping of platform capabilities.
• Lead Product Lifecycle: Manage both inbound (requirements gathering, strategic roadmap definition) and outbound (internal/external evangelism, community engagement, customer feedback loops) product management for the data and AI platform.
• Own the Execution Roadmap: Define and drive the execution roadmap for critical data platform features, including the enablement of AI capabilities, streamlined data ingestion/onboarding, and foundational data vision initiatives.
• Champion Governance & Quality: Own the business-stakeholder perspective for data quality and governance, ensuring the platform provides reliable, secure, and compliant data assets for all consumers.
• Deliver High-Quality Requirements: Provide a continuous stream of detailed requirements with clear, measurable acceptance criteria, demonstrating a deep understanding of both upstream data source complexities and downstream end-user consumption needs.
• Engage Stakeholders Extensively: Partner with cross-functional executive leaders to inform platform roadmaps and ensure the data strategy remains strategically aligned with Smartsheet’s overall product and business platform goals.
• Act as a Data Ambassador: Represent the data and AI platform's capabilities internally and externally, clearly communicating the value proposition of features related to data retention, security, compliance, reliability, and integrity.
• Provide Mentorship: Offer informal leadership and mentorship to Engineering and Product team members, fostering a culture of technical excellence, accountability, and collaborative delivery.
  
  

Key Responsibilities:

• Data as a Product (DaaP): Evangelize and implement a "Data as a Product" mindset, shifting the organization from reactive data requests to a self-service, scalable, and visionary data platform.
• AI Enablement: Partner closely with AI and Engineering teams to integrate AI-driven use cases into the core data fabric, ensuring the platform robustly supports advanced machine learning, predictive analytics, and process automation.
• Infrastructure Strategy: Leverage a strong, current understanding of Data Lakes, Data Mesh principles, Medallion Architecture, and modern cl