Director, Presales Engineering

Proofpoint

Confirmed live yesterday High trust

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Work type
On-site
Location
TXFLPittsburgh, PACOIL
Posted
64 days ago
Freshness
Confirmed live yesterday

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How this pay compares to similar roles

Similar $245k
$181k most similar roles pay here $304k

This listing doesn't post a salary. Most similar roles pay $208,800–$282,150.

Based on 240 similar postings.

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About Proofpoint

Proofpoint is a cybersecurity company specializing in email security, threat protection, data loss prevention, and compliance. Privately held by Thoma Bravo since 2021, it serves over 500,000 organizations including 87 of the Fortune 100.

Proofpoint currently has 15 open roles on FindRole.

Listed pay typically runs $136,200–$214,005 across 9 roles with salary data.

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At a glance

TL;DR · Director, Presales Engineering

The Director, Presales Engineering leads a global function at the intersection of Sales Engineering, technical escalation management, field productivity, and product advocacy. This role focuses on modernizing how presales expertise scales by managing complex proof of concept executions, resolving technical ambiguity, and establishing durable systems for knowledge capture and governance. The individual will drive AI-forward transformations including prompt libraries, agentic systems, and governed workflows while coordinating cross-functional efforts across Sales, Product, Engineering, and Security teams. Key responsibilities include overseeing escalation paths, managing access governance via CyberArk and SailPoint, and mentoring senior technical contributors. Required skills include expertise in enterprise cybersecurity sales motions, LLM-based tooling, and prompt engineering. The role addresses challenges in data security, insider threat management, and AI security within the cybersecurity domain to improve customer outcomes through structured product advocacy and scalable enablement.

What you'll do

  • Lead the evolution of presales engineering escalation strategies including routing models, ownership clarity, and technical decision paths.
  • Drive AI transformation by implementing prompt libraries, agentic workflows, and governed knowledge retrieval systems for the sales team.
  • Manage complex technical escalations involving product gaps, proof of concept blockers, and high-value opportunity risks.
  • Build scalable systems for technical knowledge capture including playbooks, enablement assets, and automated intake forms.
  • Partner with Product and Engineering teams to convert recurring field issues into structured advocacy based on ARR impact.
  • Oversee access governance for presales engineering including least privilege patterns and lab infrastructure management.
  • Mentor senior technical contributors to improve their judgment, documentation quality, and cross-functional influence.
  • Translate experimental AI tools into secure, repeatable operating models aligned with corporate security and field priorities.

What we're looking for

  • 10 or more years of experience in Presales Engineering, Sales Engineering, Technical Consulting, Escalation Engineering, Solutions Architecture, Product Specialist, or related customer-facing technical roles.
  • 5 or more years leading technical teams, transformation programs, field enablement efforts, or cross-functional technical initiatives in enterprise software or cybersecurity.
  • Strong understanding of enterprise cybersecurity sales motions including technical discovery, proof of concept execution, and executive-level technical storytelling.
  • Demonstrated ability to lead complex escalations involving Sales, Product, Engineering, Support, IT, Security, Legal, and executive stakeholders.
  • Practical fluency with AI-enabled workflows, LLM-based tooling, knowledge retrieval, prompt engineering, agentic systems, and governance models.
  • Experience building operating models, intake systems, governance frameworks, enablement libraries, automation workflows, or internal tooling for distributed technical teams.
  • Strong judgment regarding data access, least privilege, customer confidentiality, security review, compliance boundaries, and responsible AI usage.
  • Excellent written communication skills to produce executive updates, technical runbooks, decision registers, and field-ready guidance.

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