Lead Product Designer, Agentforce

Salesforce Salesforce · Enterprise · San Francisco, CA +1

Lead/Principal UX Designer for Agentforce, a complete AI system enabling enterprises to build and deploy autonomous AI agents. The role focuses on shaping the behavioral architecture for how Employee Agents interact, communicate, hand off work, use memory, and coordinate. This involves defining interaction patterns, prototyping, and ensuring agent behaviors scale across the Salesforce platform.

What you'd actually do

  1. Define how autonomous agents communicate, coordinate, and collaborate with humans and each other across the Salesforce ecosystem. You'll contribute to the behavioral vocabulary that becomes the foundation for emerging enterprise AI experiences.
  2. Use tools from Figma to AI-driven environments to rapidly bring ideas to life, test assumptions, and chart the path forward. Your prototypes will demonstrate what's possible and align teams around a shared vision.
  3. Craft interaction models and patterns that work across Salesforce, Slack, and the entire platform. You'll solve for consistency and intentionality in systems that serve millions of users across diverse workflows.
  4. Guide teams from uncertainty to a shared north star through strong vision setting, storytelling, and principled design decisions. Partner with conversation designers, content designers, researchers, product managers, and engineers to create cohesive agent experiences, bringing diverse perspectives together around a common goal.
  5. Mentor designers, share knowledge, and contribute to a rich collaborative design culture. Your impact will be measured by how well the experiences you create meet and exceed customer needs.

Skills

Required

  • Experience leading projects end-to-end (timeline, scope, strategy).
  • Experience designing consumer-grade interfaces in enterprise or platform contexts.
  • Ability to design for complex, data-rich enterprise systems – solving for scale, not just single pages.
  • Comfortable working across different levels of fidelity, from experience models and flows, through lo-fi prototypes, to polished design comps and skilled in choosing when to use each.
  • Proficiency in a variety of prototyping tools, ranging from Figma to AI-driven environments like Cursor, to accelerate design exploration, explore interactivity and demonstrate technical feasibility.
  • Strong storytelling and influencing skills; able to align diverse teams around a shared vision.
  • Experience leveraging user research and analytics to inform design decisions.

Nice to have

  • Experience designing AI-driven interfaces across various modalities—such as conversational UIs, AI agents, or human-in-the-loop systems, with understanding of LLM capabilities and limitations, and ability to craft interaction patterns that align the constraints of AI reasoning and response generation .
  • Demonstrated ability to navigate high levels of ambiguity and fragmented landscapes.
  • Expertise in design systems, accessibility, and design operations at scale.
  • Technical Prototyping Fluency: Comfort reading and working with frontend code (HTML, CSS, JavaScript) to build functional prototypes using AI-assisted development tools, enabling rapid testing of interaction concepts beyond static mockups

What the JD emphasized

  • autonomous AI agents
  • autonomous agents
  • AI agents

Other signals

  • AI agents
  • autonomous agents
  • reasoning
  • planning
  • action
  • enterprise AI