We're looking for a Product Designer who can take a fuzzy problem and turn it into a shipped, high-quality UI end-to-end.
You'll work closely with product and engineering, help shape how our AI features look, feel, and earn trust, and bring real UX thinking to a fast-moving, sometimes chaotic environment. If you're AI-native, code-comfortable, and know how to own your work independently, we'd love to talk.
What You’ll Do- Take features from fuzzy problem to shipped UI — flows, states, edge cases, and the pixels. All of it, and make it great.
- Work AI-natively — in how you design and in how you build.
- Ask questions. A lot. All the time.
- Help make our product easy to use, and our AI features genuinely trustworthy.
- Improve how we work.
- Send gifs and memes in Slack as a standard means of communication.
- Own your work.
Must have
- 5+ years as a Product Designer, with strong B2B SaaS experience.
- UX thinking: you frame problems and defend decisions past "it looks nice."
- Solid UI craft, clean, consistent, high quality.
- Independence: You turn ambiguity into shipped work.
- AI-native and code-comfortable: heavy AI user, past "only Figma," can read a repo and open PRs with AI's help.
- BA/BSc in Design from a leading academic institution.
- Comfortable with ambiguity and a fast-moving, sometimes chaotic environment.
Nice to have
- Design system experience and a cybersecurity background.
- Experience designing AI/agentic products.
- Analytics-savvy and research experience: comfortable in tools like Pendo, reading usage data, and running in-depth customer interviews.
Skills Required
- 5+ years as a Product Designer, with strong B2B SaaS experience.
- UX thinking: frame problems and defend decisions beyond aesthetics.
- Solid UI craft: clean, consistent, high-quality visual design.
- Independence: ability to turn ambiguity into shipped work.
- AI-native and code-comfortable: heavy AI user, can read a repo and open PRs with AI assistance.
- BA/BSc in Design from a leading academic institution.
- Comfortable with ambiguity and a fast-moving, sometimes chaotic environment.
- Design system experience.
- Cybersecurity background.
- Experience designing AI/agentic products.
- Analytics-savvy and research experience (e.g., Pendo, usage data, customer interviews).
Zenity Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Zenity and has not been reviewed or approved by Zenity.
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Fair & Transparent Compensation — Pay is considered competitive and generally favorable, with indications that totals can be strong for key roles. While volume of signals is limited, sentiment toward compensation trends positive.
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Strong & Reliable Incentives — Go-to-market roles appear to feature robust variable compensation and high on-target earnings. Role and location differences are evident, which can shape incentive outcomes.
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Equity Value & Accessibility — Equity is routinely referenced as part of offers, indicating broad eligibility consistent with growth-stage startups. This points to accessible upside potential alongside cash compensation.
Zenity Insights
What We Do
Zenity is the first security and governance platform purpose-built for AI agents - spanning SaaS, home grown platforms (Cloud), and end-user devices (Endpoint). Trusted by Fortune 500 enterprises, Zenity helps security teams confidently adopt AI by delivering defense in depth with full-lifecycle coverage: from agent discovery and posture management to real-time detection, prevention, and response. As enterprises adopt Microsoft Copilot, Salesforce Agentforce, AWS Bedrock, and developer tools like GitHub Copilot, Zenity eliminates blind spots and enforces consistent policy across environments so organizations can innovate with AI, without compromising security. Learn more at www.zenity.io.
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