Jobs at Proofpoint

Build and operate scalable backend and distributed systems in cloud environments. Own software problems from design through deployment, improve architecture, reliability, automation, and observability, and contribute to engineering excellence and mentorship. The role involves microservices, API gateways, event streaming, container orchestration, DevOps, CI/CD, and debugging production systems. Bonus experience includes agentic AI applications, LLM frameworks, MCP servers, and startup product development.

Hunts, develops, and closes net-new commercial business in India. Builds executive and technical relationships, sells complex multi-product cybersecurity solutions, manages full sales cycles, coordinates sales engineers, product specialists, partners, and marketing, develops account strategies, delivers portfolio presentations, maintains Salesforce pipeline accuracy, and consistently achieves quota.

Design, build, evaluate, and deploy production-grade autonomous and multi-agent AI systems for cybersecurity detection and response. Develop LLM orchestration, tool use, memory, planning, RAG, evaluation, observability, and failure-recovery capabilities. Optimize agents for accuracy, latency, cost, reliability, and scalability while partnering with security researchers, platform engineers, and product teams to automate security workflows.

Design, train, fine-tune, evaluate, and deploy production machine learning models for cybersecurity detection. Build efficient transformer and LLM systems optimized for latency, throughput, memory, cost, and reliability. Develop scalable inference infrastructure, data pipelines, and labeling workflows; collaborate with security researchers and product teams; monitor production models and improve detection quality and robustness.

The Principal eBPF Developer designs and optimizes eBPF programs for networking, observability, and security, guiding best practices in Linux systems programming and collaborating with cross-functional teams.

Drive enterprise account growth as a Named Account Manager by building C-level relationships, executing solution-selling strategies, coordinating with sales engineering and channel teams, delivering demos and POCs, penetrating net-new accounts, expanding within existing customers, and consistently exceeding sales quotas.

Build, deploy, scale, and operate highly available distributed systems across regions. Maintain Kubernetes infrastructure, Helm charts, CI/CD pipelines, and automation. Implement observability, alerting, incident response, and runbooks. Troubleshoot production issues, perform root cause analysis, and collaborate with development teams to ensure production readiness and scalability.

The Senior Sales Specialist will drive growth in Data Security, partner with sales teams, build customer relationships, and lead sales cycles in Strategic and Enterprise accounts.

Owner of channel marketing for India: build scalable partner campaigns and incentives, execute virtual and in-person events, tailor digital campaigns, manage budgets, measure ROI via SFDC, and drive partner-sourced pipeline while collaborating with channel sales and regional marketing.

Develop responsive, high-performance web applications using React and TypeScript. Build reusable components, integrate REST APIs, optimize for cross-browser and device performance, participate in code reviews, debugging, and collaborate with designers and backend engineers.

The Named Account Manager will establish relationships with C-level executives, sell cybersecurity solutions, and work with teams to close deals and expand accounts.

Design and execute performance tests, develop testing frameworks using Python or Node.js, monitor application performance in cloud environments, and integrate testing into CI/CD pipelines.