Teams at Menlo Security Inc.

Build and scale low-latency AI serving infrastructure for SLMs, prompt-injection engines, and classification services. Architect GPU-accelerated inference pipelines, backend microservices, Kubernetes clusters, rate limiting, tenant guardrails, monitoring, and autoscaling systems. Develop continuous evaluation, retraining, model CI/CD, regression gates, and MLOps/LLMOps pipelines while improving service reliability, latency, cost efficiency, and detection quality.

Build and harden Chromium-based browser components in C++ for AI and browser security. Develop prompt-injection and Shadow AI detection, integrate AI agents, MCP servers, and CDP, and support networking and HTTP security capabilities. Build tooling and detection services with Python or Rust, deploy cloud infrastructure on AWS or GCP using Kubernetes and Terraform, and optimize high-scale systems across browser and backend environments.

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.