Product Designer, Menlo Security

• 4+ years of product design experience, including B2B or enterprise application audiences
• Experience designing for technical or admin audiences — policy builders, rules engines, dashboards, or other configuration-heavy interfaces
• Systems thinking: able to map multi-step workflows with conditional logic and edge cases, such as policy conflict resolution and exception handling
• A portfolio that shows complex, rules-based systems simplified into usable interfaces
• Proficiency in Figma and modern design system workflows
• Working fluency with AI-assisted design and research tools — for example, using LLM-based tools to synthesize qualitative research or accelerate prototyping — with the judgment to validate outputs before they inform design decisions

Desirable

• Menlo Security is expanding data-centric protection across its browser security platform — covering DLP, file inspection and sanitization, sensitive data classification, and secure file handling workflows.
• We are hiring a Product Designer to own the end-to-end user experience for this vertical, partnering closely with product management and engineering to design admin-facing policy controls, end-user file interaction flows, and risk and incident surfaces that make complex data protection decisions feel simple and trustworthy
• This is a high-ownership role on a small, tightly connected design team where one person's work shapes an entire product area.
• Much of what you design sits on top of AI/ML-driven classification and detection, so you will be defining how automated decisions are explained, trusted, and overridden by the people who depend on them.
• Our design team also uses AI-assisted research synthesis and prototyping tools to move from customer signal to testable concept faster, and we expect this role to help set that practice
• Own the design quality and usability of Menlo's data security and file security surfaces end to end — from admin policy configuration through end-user file interactions and incident remediation
• Make complex, rules-based data protection decisions understandable and actionable for the security admins and end users who rely on them
• Own end-to-end design for data security and file security features: DLP policy configuration, file scanning and sanitization flows, sensitive data detection alerts, and quarantine and remediation workflows
• Translate complex security and compliance logic — data classification rules, file-type policies, content inspection results — into admin experiences that are configurable without being overwhelming
• Design the interaction patterns that make AI/ML-driven classification and detection legible to users: confidence and risk indicators, explanations for why a file was flagged, and clear paths to review, override, or appeal an automated decision
• Design end-user-facing moments — file download warnings, redaction previews, access requests — that balance security friction with productivity
• Partner with product management and engineering to scope features, run discovery with customers and admins, and iterate through delivery, using AI-assisted tools to synthesize interview transcripts, support tickets, and usability sessions into prioritized insight
• Extend the design system with security-specific patterns (risk indicators, policy builders, data flow visualizations), using AI-assisted prototyping and design tooling to explore and test variations quickly before committing to a direction
• Mentor designers on the team and contribute to team-wide craft and process standards, including how the team adopts AI tools responsibly in its workflow
• Success Metrics / KPIs;
• Reduced admin time-to-configure for DLP and file security policies
• Decreased support tickets related to policy setup confusion or false positives
• Increased design system component reuse across data security surfaces
• Positive usability benchmarks from admin console testing
• Strong cross-functional alignment scores from product and engineering partners, per the team's existing competency framework cadence