Hyperproof's GRC platform turns GRC into a growth engine. Eliminate duplicate work and see 66% reduction in duplicative controls. Backed by ForgePoint Capital.
About the role
Design at Hyperproof starts with customers and ends in production code. You'll meet with customers to understand the problem. Design and prototype with Claude in our codebase. Test and iterate with real users. Write UX specs and partner with engineering to ship. You own problem framing and UX decisions for your work. Your PM partner owns the why, priority, and business outcomes. Engineering owns architecture and scale. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Hands-on experience with agentic coding tools. Claude Code is our standard. Deep experience with Cursor or a similar tool also counts
- Front-end literacy. Enough HTML, CSS, React, and Git to direct AI coding tools, read a diff, and recognize when the output is wrong
- Sound judgment with AI. You treat its output as a draft, know when not to use it, and hold AI-assisted work to the same standard you would if it took a week to make
- Design systems experience, including design tokens
- A passion for simplifying complex problems in enterprise software
- 5+ years of product design experience, including 3+ years in B2B SaaS
More about this role
Hyperproof is looking for a Senior Product Designer who has already changed how they work because of AI, and can show us the results.
Hyperproof is a modern, AI-powered GRC platform that helps IT, security, and compliance teams manage controls at scale, connect them to risk, and build trust with their customers. Our customers work in regulated environments where accuracy, auditability, and trust are not optional.
Design at Hyperproof starts with customers and ends in production code. You'll meet with customers to understand the problem. Design and prototype with Claude in our codebase. Test and iterate with real users. Write UX specs and partner with engineering to ship.
You own problem framing and UX decisions for your work. Your PM partner owns the why, priority, and business outcomes. Engineering owns architecture and scale.
- Discovery and research: Lead interviews, usability tests, and analytics reviews to frame problems before solving them. Use AI agents to transcribe and tag interviews, cluster themes across customer calls, support tickets, and product feedback, and pull usage data from analytics in hours instead of days. Then check every finding against the raw quotes and...
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