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 peopl...

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 massiv...

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), while maintaining engineering velocity.

Experience: 8+ years of experience in Product Management, with a significant and proven focus on AI & data infrastructure, core backend platforms, or high-scale technical SaaS products.
Execution Focus: Proven track record of owning and successfully driving execution roadmaps for critical, scalable, and reliable data systems.
Technical Depth: Extensive and current understanding of:
AI Foundations and Platforms: Agentic frameworks, transformer architectures, prompt engineering,rag, fine-tuning techniques, vector databases, and embedding strategies.
Data Platforms: Deep familiarity with leading cloud data platforms (e.g., Databricks, Snowflake).
Data Warehousing: Knowledge of Dimensional Modeling and Data Vault 2.0 (DV2.0).
Architecture: Experience with Medallion Architecture and contemporary Data Integrity practices.
Communication Mastery: Exceptional ability to translate complex technical debt or architectural needs into clear business value, actionable initiatives, and precise "acceptance criteria" for diverse technical and non-technical stakeholders.
Customer-Centricity: Ability to treat internal developers, analysts, and external partners as "customers," utilizing research and data to identify and remove friction in the data consumption and contribution journey.
Architectural Fluency: High-level understanding of data governance, semantic impact, and data modeling, with the ability to lead and navigate complex architectural discussions with senior engineering teams.

 
 
Get to Know Us:
At Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. You’ll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional paths—because we know that impact comes from individuals who care deeply and challenge thoughtfully. When you’re doing work that stretches you, excites you, and connects you to something bigger, that’s magic at work. Let’s build what’s next, together.