Designing for Data + AI at Enterprise Scale

I am currently a Principal Designer at Salesforce focused on Data Cloud, the data layer that powers our next-gen CRM including Agentforce, our AI / LLM Agent platform.

Designing for Data + AI at Enterprise Scale

Over the past four years I have worked on several major initiatives at Salesforce, including presenting four customer-facing sessions at Dreamforce 2023 on data+design. After the launch of Agentforce at Dreamforce 2024, my role is currently focused on how we can easily enable customers to connect their data to Agents + AI, and leveraging agentic experiences internally to accelerate customer time to value.


Challenge

Shortly after Salesforce Data Cloud was announced, I was tapped to be the Cross-Cloud Design Lead to spearhead an integration effort across the various Salesforce business units to power next-gen features.

Results

  • Working with cross-functional partners across the company we ID'ed use cases, defined reusable patterns across those use cases, and integrated them with our global design system.
  • We conducted enablement sessions across the UX org, which went well beyond patterns and component libraries. We leveraged ZeroHeight to produce robust guidance with the breadth to help entire product teams onboard and integrate with Data Cloud, not just design-specific UX enablement.
  • Our playbook for this rapid-turn enablement was replicated across the UX org, spurring major product teams to spin up similar resources to streamline internal collaboration.

Challenge

As the product expanded beyond its roots as an customer data platform and became integrated across our CRM suite, we needed to make it approachable for all customers, not just data specialists. I was the Principal IC tasked with looking across our end-to-end journeys to look for optimizations to our experience.

Results

  • I led the effort to audit the experience across mission-critical user journeys to ID areas for improvement (reduce clicks, repetitive steps, and automate / engineer away manual steps). I then prototyped an improved experience with eng-verified near-term feasibility, and rapidly iterated upon it via a cross-functional, customer facing design sprint.
  • Based on learnings, I worked with PM to prioritize across our 2024 roadmap. This effort ultimately rose to the top of our roadmap, and the team grew considerably in resources+headcount to support this workstream.
  • One specific feature area was able to shave off multiple days of implementation time by leveraging UX paired with automation + APIs to streamline a formerly manual, multi-persona setup process.

If you'd like to learn more about my role and more specific problems these projects addressed, please get in touch.