Director, Presales Engineering
On-sitePittsburgh, Pennsylvania, United States or Sunnyvale, California, United States
Job Summary
Lead the evolution of Presales Engineering escalation strategy, including routing models, intake boundaries, ownership clarity, and measurable service expectations. Drive AI forward transformation across the organization by building prompt libraries, AI agents, custom GPT governance, and field automation patterns. Own complex technical escalation paths for high-value opportunities, proof of concept blockers, and product readiness gaps while partnering with Sales Engineering to define the future PSE model. Build scalable systems for technical knowledge capture, including reusable playbooks, enablement assets, and escalation runbooks. Coordinate globally across AMER, EMEA, and APJ stakeholders to ensure presales support coverage and escalation visibility. Mentor senior technical contributors and translate experimental AI tooling into governed, repeatable operating models aligned to customer priorities.
Required Qualifications
- 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, production evaluations, customer security architecture, objection handling, 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, governance models, and safe enterprise adoption patterns
- Experience building operating models, intake systems, governance frameworks, enablement libraries, automation workflows, or internal tooling for distributed technical teams
- Ability to distinguish experiments from production ready capabilities, and to define the controls needed to move from one to the other
- Strong judgment around data access, least privilege, customer confidentiality, security review, compliance boundaries, and responsible AI usage
- Excellent written communication skills, with the ability to produce crisp executive updates, technical runbooks, decision registers, operating models, and field ready guidance
- A bias toward durable systems, clear ownership, measurable outcomes, and scalable enablement
Desired Qualifications
- Experience with Proofpoint products, Sales Engineering workflows, presales support operations, or enterprise cybersecurity field organizations
- Experience with Data Security, Insider Threat Management, email security, cloud security, identity workflows, AI security, or enterprise collaboration security
- Experience with tools such as Salesforce, Jira, Confluence, GitHub, Slack or Teams, Google Workspace, Workday, CyberArk, SailPoint, vector databases, MCP servers, or enterprise AI platforms
- Experience creating governance for custom GPTs, internal AI agents, prompt libraries, knowledge pipelines, or connector based workflows
- Experience managing global teams or distributed technical stakeholders across AMER, EMEA, and APJ
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