Shield AI
Product Designer- open level (R5250)
$190K–$340K
United States +4 · Hybrid · Full-time · Posted Jun 19, 2026
- Location
- United States
San Diego, California
Washington, D.C.
San Mateo, California
Remote - Experience
- 12+ years designing and building production software interfaces.
About the job
Designs and builds production user experiences for agentic AI products and enterprise applications, including coded React/TypeScript implementations and reusable design patterns.
What you'll do
- Design, prototype, and ship interfaces for agentic AI products, including interaction patterns, model lifecycle tools, and human review workflows.
- Conduct user research and competitive analysis, and translate findings into product and design decisions.
- Instrument shipped products, monitor usage, and iterate; establish reusable design patterns across AI applications.
What they ask for
- 12+ years designing and building production software interfaces, with end-to-end ownership from research through shipped product.
- Expert-level React/TypeScript and a portfolio demonstrating shipped tools or applications with strong interaction design and visual craft.
- Hands-on experience designing LLM-powered experiences; deep knowledge of client/UI state management, DOM, browser APIs, WebSockets, and Server-Sent Events.
- Experience with user research and usability testing; Git, code review, testing, CI/CD; Linux, Docker, and a major cloud platform (Azure, GCP, AWS).
Nice to have
- Experience designing developer tools, IDEs, or engineering workflow products; data visualization experience (D3, WebGL, dashboards), with geospatial a plus.
- Experience with design systems, generative AI debugging/inspection UIs, Electron, interactive media, low-code/no-code systems, or reading C++ and/or Python and/or Go.
Pay
USD 190,000–340,000 (per-year-salary) — base salary
Tools
React, TypeScript, WebSockets, Server-Sent Events, Git, Linux, Docker, Azure, GCP, AWS
AI focus
Designs user experiences for agentic AI products, LLM-powered applications, foundation-model-based autonomy, and model lifecycle tooling, including evaluation, tracing, observability, and verification.
Model-written summary · the original posting is authoritative