Principal Product Manager, Data & AI Platforms ( Hybrid in Bangalore )

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. 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 cloud data platforms (e.g., Databricks, Snowflake) to guide the technical evolution of Smartsheet’s data architecture. Data Integrity & Semantic Impact: Define and manage the semantic layer and data integrity practices to ensure data is accurate, fresh, and trusted across all business units. Compliance & Ethics: Establish and automate robust data governance standards, including metadata management and strict privacy compliance (GDPR, CCPA, SOC2), whil…