Senior Product Designer, AI

About the Role

Sigma is transforming how businesses allow customers to build apps, agents, and dashboards on top of governed enterprise data. We are looking for a Senior Product Designer / Design Engineer who sits at the intersection of interaction design and AI engineering: someone who uses AI to ship faster, builds the skills and evals that make AI more effective, and invents new interaction paradigms for how people work alongside intelligent systems.

This is a 4-day on-site role in our San Francisco office.

What You'll Do

• 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 fitting.
• 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 production 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.
• Set the craft bar: Define what great AI-native UX looks like at Sigma: patterns and principles the broader team builds on.

What We're Looking For

• 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 products and side projects.
• Experience writing evals, agents, prompt libraries, or skills for AI systems.
• Strong interaction design fundamentals.
• Opinions about AI UX: trust signals, error recovery, progressive disclosure of reasoning, and real examples of addressing 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.

Portfolio Requirements

• Demonstrated transformation of intricate interaction problems into elegant flows (conversational interfaces bonus).
• Successfully released designs demonstrating system-wide thinking, breadth and depth in interaction design skills, and an AI-first approach.
• Transparent design process and progressive evolution, highlighting problem solving, constraints, assumptions, and significant iterations.
• Examples of designs furthering business objectives while meeting user needs.