Menlo Security is the leader in Browser Security for human and agentic workforces. Our mission is to enable humans and agents to connect, communicate, and collaborate securely, without compromise. The Menlo Browser Security Platform protects organizations from cyberattacks by stopping threats across the web, documents, and email before they reach the user. With Menlo Agent Runtime Security (MARS), that protection now extends to the AI agents working alongside every employee. Menlo Security is trusted by major global businesses, including Fortune 500 companies and government agencies, to protect their most valuable asset, their data, and is backed by top-tier investors.
SUMMARY
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.
OUTCOMES & KPIS
Key Outcome(s) Owned:
- 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.
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.
WHAT YOU'LL DO
- 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…