Product Designer

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 adopts AI tools responsibly in its workflow. Functional Competencies Required: 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. Preferred / Nice to Have: Experience partnering with product management and engineering in an agile environment, including presenting design rationale to cross-functional and executive stakeholders. Familiarity with data security or file security concepts: DLP, content inspection, sensitive data classification. Knowledge of AI/ML-driven products or AI security — for example, prompt injection risk, AI-assisted threat detection, or model governance. Experience mentoring or growing other designers. Our Compensation and Benefits At Menlo Security, Base Salary is one part of our competitive total compensation and benefits package and is determined using a salary range. The base salary range for this role is $126,400-$189,600. In accordance with NY, CO, CA, and WA law, the range provided is Menlo Security's reasonable estimate of the base compensation for this role. The actual amount may be higher or lower, based on non-discriminatory factors such as experience, knowledge, skills, abilities, and location. All employees may be eligible to become Menlo Security shareholders through eligibility for stock-based compensation grants, which are awarded to employees based on company and individual performance. Menlo Security does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of Menlo Security. Menlo Security is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. MSGL-I4 Follow us on LinkedIn! Why Menlo? At Menlo, we don't settle for the status quo - in our technology or our culture. How we think and act is just as important as what we build. Our culture is defined by five core mindsets: Proactive Leadership, Straight Talk, United Impact, Elevated Talent, and Customer-Compelled. We take ownership and drive outcomes without waiting to be told. We communicate directly and seek hard truths. We break down silos and win together. We hold a high bar for ourselves and the people around us. And we treat every customer interaction as mission-critical. If you're someone who sees it, owns it, solves it, and does it - you'll thrive here. All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability TO ALL AGENCIES: Please, no phone calls or emails to any employee of Menlo Security outside of the Talent organization. Menlo Security's policy is to only accept resumes from agencies via Ashby (ATS). Agencies must have a valid services agreement executed and must have been assigned by the Talent team to a specific requisition. Any resume submitted outside of this process will be deemed the sole property of Menlo Security. In the event a candidate submitted outside of this policy is hired, no fee or payment will be paid. #J-18808-Ljbffr