Director, Presales Engineering
Proofpoint
About Us:
Proofpoint is a global leader in human- and agent-centric cybersecurity. We protect how people, data, and AI agents connect across email, cloud, and collaboration tools. Over 80 of the Fortune 100, 10,000 large enterprises, and millions of smaller organizations trust Proofpoint to stop threats, prevent data loss, and build resilience across their people and AI workflows. Our mission is simple: safeguard the digital world and empower people to work securely and confidently. Join us in our pursuit to defend data and protect people.
How We Work:
At Proofpoint you’ll be part of a global team that breaks barriers to redefine cybersecurity guided by our BRAVE core values:
Bold in how we dream and innovate
Responsive to feedback, challenges and opportunities
Accountable for results and best in class outcomes
Visionary in future focused problem-solving
Exceptional in execution and impact
About the Role
The Director, Presales Engineering Excellence and Innovation will lead a high impact global function at the intersection of Sales Engineering, technical escalation management, field productivity, and product advocacy. This leader will step into a role that supports complex presales motions, advanced proof of concept execution, field escalation triage, AI driven workflow transformation, and strategic cross functional coordination across Sales, Product, Engineering, Enablement, Support, Security, Legal, and IT. The mandate is not only to maintain current operational continuity, but to modernize how Presales Engineering scales expertise, resolves ambiguity, governs technical access, and uses AI safely to improve customer outcomes. The ideal candidate is a technical operator, field strategist, transformation leader, and trusted escalation partner. They can move from executive level strategy to detailed operational execution, while building durable systems that reduce dependency on tribal knowledge.
Your Day to Day
- Lead the evolution of Presales Engineering escalation strategy, including routing models, intake boundaries, ownership clarity, technical decision paths, and measurable service expectations.
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