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Multi-Surface Trust Pattern Library — how trust signals travel across web, chat, MCP, and extension

Audit the four Product.ai surfaces (web, chat, MCP, extension) for how each currently signals trust. Then design and ship a pattern library — a small, opinionated set of trust primitives (verdict states, evidence presentation, citation styles, confidence calibration) that travel coherently across all four. Output is a documented system, not a moodboard.

STEP 1 — APPLY

Apply: Multi-Surface Trust Pattern Library — how trust signals travel across web, chat, MCP, and extension

Submit your details below. After this step you'll record a short video questionnaire.

PDF, DOC, or DOCX · max 50MB

A piece of writing or analysis that shows how you think — process doc, system design, deep research. PDF, DOC, or DOCX · max 50MB.

FIT & LOGISTICS

Most of our roles are on-site or hybrid in Santa Monica. We need your own answers here — please don't rely on what's on your LinkedIn.

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After submitting, you'll be taken to the Hireflix video questionnaire.

If you encounter any issues submitting your application, please reach out to hiring@product.ai.