Jobs at Menlo Security Inc.

Own full-cycle technical recruiting across Engineering, Product, and Design. Build diverse talent pipelines, advise hiring managers and senior leaders, use AI-assisted recruiting tools, improve recruiting processes, manage talent communities, and report on hiring metrics. The role emphasizes stakeholder influence, candidate advocacy, sourcing hard-to-find talent, and delivering strong candidate and hiring-manager experiences.

Design, build, and maintain Chromium-based browser components in C++ across multiple layers. Harden browser isolation and network infrastructure using networking and HTTP security expertise. Build AI agent and MCP integrations, develop supporting tools in Python or Rust, and deploy cloud infrastructure with AWS, GCP, Kubernetes, and Terraform. Optimize high-scale systems and collaborate with product, security, and AI teams.

Owns an end-to-end product area within Menlo Security’s agent runtime security platform. Responsibilities include researching agent security, identity, protocols, and competitors; writing PRDs and acceptance criteria; managing backlogs; partnering with engineering through releases; prototyping with AI tools, MCP clients, and agent runtimes; tracking adoption and success metrics; enabling support and solutions engineering; and supporting customers, sales, marketing, and competitive positioning.

Generates qualified enterprise pipeline across EMEA through cold calling, multichannel outreach, lead qualification, and meeting scheduling. Manages complex multinational accounts, tailors messaging to regional markets, and partners with field sales and channel partners. Uses Salesforce and AI tools for account research, outreach, CRM management, and call summaries. Supports field events, contributes effective outbound playbooks, and mentors newer BDRs. Occasional travel within EMEA is required.

Design and execute manual and automated testing for web applications, APIs, and backend services. Build regression, smoke, and critical-path automation suites; validate functional, integration, end-to-end, and non-functional requirements; identify and track defects; verify fixes; and collaborate with engineering, product, and DevOps teams. Use AI-assisted tools for test generation, flaky-test triage, and log analysis while improving QA processes, tooling, coverage, and release quality.

Design, build, and operate Threat Protection and ShadowAI services: scalable distributed systems and APIs that detect and control risky web and generative AI usage. Own features end-to-end, maintain availability and latency SLOs, write tests, perform code reviews, use AI-assisted tools, and collaborate with cross-functional teams to improve detection accuracy and production reliability.

Design, build, and operate multi-region VM and Kubernetes infrastructure on GCP and AWS. Lead IaC standards with Terraform/Spacelift, implement observability (Grafana/Prometheus/OTel), manage core platform services (DNS, certs, ingress, service mesh), drive automation and CI/CD, mentor engineers, and participate in 24x7 on-call incident response and post-incident reviews.