Principal Product Manager, Data & AI Platforms

Role Overview: As a Principal Product Manager, Data & AI Platforms at Smartsheet, you will play a crucial role in driving the strategic direction and execution of the foundational data ecosystem. Your responsibilities will include treating data and AI infrastructure as a premier product, ensuring high quality, scalability, and alignment with Smartsheets critical business and AI objectives. This impactful role will involve bridging engineering excellence with measurable business value, ultimately democratizing data and enabling advanced AI capabilities across the organization. Key Responsibilities: - Drive Strategic Alignment: Lead the alignment of data governance and AI-driven use cases across Engineering, Product, and Business organizations to ensure unified goals, prioritization, and clear scoping of platform capabilities. - Lead Product Lifecycle: Manage both inbound and outbound product management for the data and AI platform, including requirements gathering, strategic roadmap definition, internal/external evangelism, community engagement, and customer feedback loops. - Own the Execution Roadmap: Define and drive the execution roadmap for critical data platform features, including AI capabilities, streamlined data ingestion/onboarding, and foundational data vision initiatives. - Champion Governance & Quality: Ensure the platform provides reliable, secure, and compliant data assets for all consumers, owning the business-stakeholder perspective for data quality and governance. - Deliver High-Quality Requirements: Provide detailed requirements with clear acceptance criteria, demonstrating deep understanding of 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 strategic alignment with Smartsheets overall product and business platform goals. - Act as a Data Ambassador: Represent the platform's capabilities internally and externally, communicating the value proposition related to data retention, security, compliance, reliability, and integrity. - Provide Mentorship: Offer informal leadership and mentorship to Engineering and Product team members, fostering technical excellence, accountability, and collaborative delivery. Qualifications & Skills: - Experience: 8+ years in Product Management with a focus on AI & data infrastructure, core backend platforms, or high-scale technical SaaS products. - Execution Focus: Proven track record of successfully driving execution roadmaps for critical, scalable, and reliable data systems. - Technical Depth: Extensive understanding of AI foundations, cloud data platforms, data warehousing, architecture, and data integrity practices. - Communication Mastery: Ability to translate technical complexities into clear business value and actionable initiatives for diverse stakeholders. - Customer-Centricity: Treat internal developers and external partners as customers, identifying and removing friction in the data journey. - Architectural Fluency: Understanding of data governance, semantic impact, and ability to lead complex architectural discussions. If you have any other specific requirements or preferences, please let us know to assist you better. Role Overview: As a Principal Product Manager, Data & AI Platforms at Smartsheet, you will play a crucial role in driving the strategic direction and execution of the foundational data ecosystem. Your responsibilities will include treating data and AI infrastructure as a premier product, ensuring high quality, scalability, and alignment with Smartsheets critical business and AI objectives. This impactful role will involve bridging engineering excellence with measurable business value, ultimately democratizing data and enabling advanced AI capabilities across the organization. Key Responsibilities: - Drive Strategic Alignment: Lead the alignment of data governance and AI-driven use cases across Engineering, Product, and Business organizations to ensure unified goals, prioritization, and clear scoping of platform capabilities. - Lead Product Lifecycle: Manage both inbound and outbound product management for the data and AI platform, including requirements gathering, strategic roadmap definition, internal/external evangelism, community engagement, and customer feedback loops. - Own the Execution Roadmap: Define and drive the execution roadmap for critical data platform features, including AI capabilities, streamlined data ingestion/onboarding, and foundational data vision initiatives. - Champion Governance & Quality: Ensure the platform provides reliable, secure, and compliant data assets for all consumers, owning the business-stakeholder perspective for data quality and governance. - Deliver High-Quality Requirements: Provide detailed requirements with clear acceptance criteria, demonstrating deep understanding of upstream data source complexities and downstream end-user consumption ne