Start with AI, stay with AI. 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.
Prototype in code. 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.
Bring it to production. Fix small interaction and refinement issues directly on prod code.
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.
Write evals, skills, and help on tools. 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.
Shape model behavior. Iterate on evals and training to improve AI performance on design output. In other words: teach AI how to be a great designer.
Set the craft bar. Define what great AI-native UX looks like at Sigma: patterns and principles the broader team builds on.

4+ years in interaction design or design engineering, with recent hands-on AI tooling experience — not just prompting, but building.
Demonstrated use of AI coding assistants to ship real product (and side projects). You can describe what you built, how AI accelerated it, and where you had to steer it.
Experience writing evals, agents, prompt libraries, or skills for AI systems. You understand why evaluation is the hardest part of AI product development.
Strong interaction design fundamentals: you know when to reach for a new pattern and when to extend a familiar one, and you can defend that choice to anyone.
Opinions about AI UX: trust signals, error recovery, progressive disclosure of reasoning and real examples of how you've addressed these.
Exceptional ability to communicate design decisions to PMs, engineers, ML researchers, and executives.
A portfolio that includes AI-powered or AI-adjacent product work.

Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing.
This role is eligible for a variable pay (based on goal achievement), stock options, as well as a comprehensive benefits package.

On-site — San Francisco

Sigma Computing is hiring a Senior Product Designer, AI