Lead Product Designer, LMTS

Salesforce•California - Remote, CA

1d•Remote

About The Position

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Applications for this position will be accepted on an ongoing basis. Design at Qualified is small and intentional. There's no design systems team or research ops function, just close access to the product, fast feedback loops, and problems that rarely have obvious solutions. Most of those problems are about AI where the interface is rarely the hard part. The challenge is helping users understand what the AI is doing, trust it when it's right, catch it when it's wrong, and shape it toward what they actually need. That takes judgment more than process. We’re building Piper, an AI SDR that runs autonomous sales conversations, follows up with prospects, and moves pipeline without a human in the loop. Piper is not a chatbot and not a copilot. Piper is an agent. 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).

Requirements

6+ years of product design experience
At least 2 years of experience on AI or conversational experiences
Understanding of LLM behavior (latency, streaming, confidence, failure modes) and ability to design for it honestly
Fluent in AI tooling as a core part of how you work
Strong visual and interaction craft
Ability to work comfortably without a detailed brief
Ability to define the problem alongside the solution

Nice To Haves

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

Responsibilities

Design the interface for shaping Piper's personality, goals, and objection handling.
Design the chat and video experience where the AI is the rep, focusing on micro-interactions, latency handling, turn-taking, and tone.
Define design patterns for autonomous agents in enterprise sales.
Prototype in code or with AI tools.
Ship design decisions.
Work directly with engineering and ML teams.
Influence product direction and own work from problem definition through ship.