Drimva

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

First seen Oct 10, 2026 · Last verified Nov 5, 2026 (UTC)