Drimva

Shield AI

Head of Product Design (R5776)

San Diego, California · Director · Full-time · Posted Oct 30, 2026

Experience
10+ years; no alternatives stated.

About the job

Leads product design for Shield AI’s Hivemind autonomy development platform, shaping user experiences and AI-native workflows while managing and mentoring a design team.

What you'll do

  • Research users and translate their needs into product recommendations, requirements, and design initiatives.
  • Design end-to-end workflows for autonomy development, simulation, testing, deployment, and operations, including AI-assisted experiences.
  • Set product design strategy and standards, partner across functions, and grow the design practice while remaining hands-on.

What they ask for

  • 10+ years of experience in Product Design, UX Design, Human Factors, or related fields.
  • Track record designing and shipping complex technical products, platforms, or systems; strong technical fluency and engineering collaboration skills.
  • Experience conducting user research and translating insights into product strategy and design solutions; ability to influence without direct authority.
  • Understanding of AI-powered product experiences and experience defining new experiences in emerging technology spaces; experience building high-performing design teams and a portfolio demonstrating strategic and hands-on work.

Nice to have

  • Background in developer platforms, SDKs, cloud infrastructure, DevOps tooling, or engineering productivity tools; direct work on AI/ML platforms, MLOps, copilots, or agentic systems.
  • Familiarity with autonomy, robotics, simulation, mission systems, physical AI, command-and-control, or other mission-critical environments; ability to design integrated hardware/software systems.

Tools

Hivemind

AI focus

Define AI-assisted and agent-driven workflows for autonomy development, simulation, testing, deployment, and operations; design human-AI collaboration, agent orchestration, and frameworks for trust, transparency, explainability, and human oversight.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 6, 2026 (UTC)