Lead Product Designer, Lmts

Salesforce Salesforce · Enterprise · United States · Remote

Lead Product Designer for an AI SDR (Sales Development Representative) product called Piper, which runs autonomous sales conversations. The role focuses on designing the user interface for shaping the AI's personality, goals, and reasoning, as well as the conversational presence in live chat and video experiences. This involves understanding LLM behavior, designing for latency and turn-taking, and working closely with engineering and ML teams to define the patterns for autonomous agents in enterprise sales.

What you'd actually do

  1. You will work on two of its most interesting surfaces: the AI brain (how Piper understands prospects and explains its reasoning) and conversational presence (the live chat and video experience where the AI is the rep).
  2. The first surface is Piper’s brain: how Piper understands a lead, forms a plan, and explains its reasoning. You'll design the interface for shaping its personality, goals, and objection handling.
  3. The second is Piper's live presence, the chat and video experience where the AI is the rep. The work is in the details: the micro-interactions, latency handling, turn-taking, and tone that make it feel credible instead of uncanny.
  4. You prototype in code or with AI tools, not just Figma
  5. You're faster with agents than most designers are without them

Skills

Required

  • 6+ years of product design
  • at least 2 years on AI or conversational experiences
  • understanding LLM behavior (latency, streaming, confidence, failure modes)
  • designing for LLM behavior honestly
  • fluent in AI tooling
  • strong visual and interaction craft
  • comfortable without a detailed brief
  • works directly with eng and ML

Nice to have

  • Voice, video, or real-time communication design background
  • Familiarity with enterprise sales or CRM workflows
  • Experience designing multi-step autonomous workflows

What the JD emphasized

  • at least 2 years on AI or conversational experiences
  • You understand LLM behavior (latency, streaming, confidence, failure modes) and design for it honestly
  • Fluent in AI tooling as a core part of how you work, not an experiment
  • Works directly with eng and ML. No handoff culture here.

Other signals

  • designing interfaces for AI agents
  • shaping AI personality and goals
  • designing conversational presence for AI
  • understanding LLM behavior and failure modes
  • prototyping with AI tools and code