Lead Product Designer, Agentforce Platform

Salesforce Salesforce · Enterprise · San Francisco, CA +1

Salesforce is seeking a Lead/Principal UX Designer for their Agentforce Platform, focusing on shaping the behavioral architecture for how autonomous AI agents interact within the Salesforce ecosystem. The role involves defining patterns for agent communication, task handoff, memory, and coordination, with a strong emphasis on prototyping and designing for scale and coherence across the platform. The designer will collaborate with cross-functional teams to establish industry-defining experiences for enterprise workforces interacting with AI agents.

What you'd actually do

  1. Pioneer agent interaction patterns
  2. Prototype to learn and validate
  3. Design for scale and coherence
  4. Build the future through vision and collaboration
  5. Elevate the team and the craft

Skills

Required

  • Bachelor's or Master's degree in Human-Computer Interaction, Interaction Design, UX Design, or equivalent experience.
  • 8+ years of experience as a Product/UX Designer, with a strong portfolio showcasing web and/or mobile application designs, ideally within enterprise software or SaaS.
  • Success working collaboratively in matrixed organizations and partnering across design, product, engineering, and executive stakeholders.
  • 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 .

What the JD emphasized

  • autonomous AI agents
  • agent interaction patterns
  • agent communication
  • agent coordination
  • agent collaboration
  • behavioral architecture
  • autonomous agents
  • reasoning
  • planning
  • action

Other signals

  • AI agents
  • autonomous agents
  • reasoning
  • planning
  • action
  • agent interaction patterns
  • agent communication
  • agent coordination
  • agent collaboration
  • behavioral architecture
  • autonomous AI agents