Senior Product Designer, AI

Sigma Computing Sigma Computing · Data AI · San Francisco, CA · Design

Senior Product Designer / Design Engineer role focused on the intersection of interaction design and AI engineering. The role involves using AI to ship faster, building AI skills and evaluations, and inventing new interaction paradigms for intelligent systems. Responsibilities include using LLMs for clarification and spec drafting, prototyping in code with AI assistance, fixing production code, designing new AI interaction paradigms for conversational interfaces, building evaluation frameworks and skills, shaping model behavior through evals and training, and setting AI-native UX standards. Requires hands-on AI tooling experience, shipping product with AI coding assistants, and experience writing evals/agents/skills. The role is 4-day on-site in San Francisco.

What you'd actually do

  1. Use LLMs to clarify scope, draft specs, surface edge cases, and align your team before committing to a direction, use AI coding tools to build and iterate on the solution itself, and merge code to prod when fits.
  2. Build working interfaces with Cursor and Claude Code, guiding structure, behavior, interaction, motion and UX quality while AI handles implementation. Partner directly with engineering to decide what moves into the product and what stays as a validated spike.
  3. Fix small interaction and refinement issues directly on prod code.
  4. Design new AI interaction paradigms for conversational interfaces. Invent and validate novel patterns for how users converse with, direct, and trust AI systems - especially in data contexts where precision and confidence matter.
  5. Build the scaffolding that makes AI reliable: evaluation frameworks, reusable skills, and tooling that helps Sigma's AI features behave predictably and improve over time.
  6. Iterate on evals and training to improve AI performance on design output. In other words: teach AI how to be a great designer.
  7. Define what great AI-native UX looks like at Sigma: patterns and principles the broader team builds on.

Skills

Required

  • interaction design
  • design engineering
  • AI tooling
  • AI coding assistants
  • writing evals
  • writing agents
  • writing prompt libraries
  • writing skills for AI systems
  • interaction design fundamentals
  • AI UX
  • communication with PMs, engineers, ML researchers, and executives
  • portfolio with AI-powered or AI-adjacent product work

Nice to have

  • conversational interfaces
  • system-wide thinking
  • breadth and depth in interactive design skills
  • AI first design process

What the JD emphasized

  • hands-on AI tooling experience
  • writing evals
  • evaluation is the hardest part of AI product development

Other signals

  • AI engineering
  • shipping AI features
  • evaluating AI
  • new interaction paradigms for AI