The Platform Modernization That Delivered 7× Performance and Migrated 5,000+ Organizations

COMPANY NAME
Salesforce (Internal)

WHERE THEY WERE BEFORE
Salesforce Maps originally operated on a raster-based mapping engine. While this approach worked in the early stages, it introduced limitations that often surface as SaaS products scale. Raster-based maps had slower rendering times, limited flexibility, and struggled to support high-volume data visualization and more advanced use cases.

As Salesforce Maps grew within the Salesforce ecosystem, these architectural constraints became more visible. Performance issues led to user frustration, especially for customers working with large datasets. The underlying technology also limited the product’s ability to support emerging capabilities such as real-time analytics and AI-driven insights.

As customer expectations increased, the architecture itself became a bottleneck. Larger enterprise accounts required faster performance and richer data handling, and the existing system made it harder to confidently support those needs or compete with more modern solutions.

PROBLEMS
Internally, the product lacked the modern infrastructure required to support enterprise-scale performance, advanced visualization, and long-term scalability. Customers with large datasets experienced slower load times, reduced responsiveness, and friction in core workflows.

At the same time, innovation was constrained by the legacy architecture. The product could not easily support more advanced capabilities without significant technical risk. These limitations weakened competitive positioning and restricted Salesforce Maps’ ability to expand into new use cases and verticals.

MY ROLE
As the Product Manager responsible for the end-to-end modernization of the Salesforce Maps mapping engine, I owned the internal initiative to transition the product from a legacy raster-based architecture to a modern vector-based system.

This work required deep technical discovery, close alignment with engineering leadership, and the creation of a phased roadmap that balanced modernization goals with customer impact. I partnered closely with engineering teams to evaluate dependency risks, design a scalable migration strategy, and ensure the new architecture would support long-term performance and innovation.

My responsibilities included assessing customer impact, coordinating rollout planning, overseeing the migration of thousands of customer organizations, and working cross-functionally with product, engineering, and customer success teams to ensure accuracy, stability, and a seamless transition throughout the process.

BENEFITS OF THEM MAKING THE CHANGE
As a result of the internal modernization effort, Salesforce Maps unlocked significant performance improvements. Data visualization became smoother, map rendering times decreased dramatically, and the product gained a technical foundation capable of supporting advanced features and future innovation.

Enterprise customers gained confidence that the platform could scale with their datasets and operational needs. This strengthened retention, opened the door to new use cases, and significantly improved the product’s long-term competitive positioning within the Salesforce portfolio.

IMPRESSIVE MEASURABLE METRICS

• 7× faster performance across key workflows

• Nearly 5,000 organizations successfully migrated

• Over 70,000 monthly active users transitioned with no disruption

• Simplified backend infrastructure through decommissioning of legacy components

  
  

WHERE THEY ARE NOW
Salesforce Maps now operates on a high-performance, enterprise-ready architecture built to support large datasets, advanced analytics, and future innovation. The product is positioned to scale reliably and serve as a long-term foundation for continued expansion and new capabilities.

The following case study highlights product leadership and outcomes achieved in prior corporate roles before founding ProductGrowth Labs.