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Director, Customer Engineering Enablement

pingwind
Companypingwind
CategoryEngineering
LocationAnnandale
RemoteHybrid
EmploymentFull-time
LevelDirector
SalaryNot stated by the employer
Posted9 Jun 2026
Last verified6 Aug 2026
SourceEmployer ATS (lever)
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Description
Experience: 10 years of experience with in a customer-facing or support role Clearance: Ability to obtain a Top Secret security clearance Location: Annadale, VA Description Director, Customer Engineering Enablement is a senior leadership role responsible for leading and evolving the organization’s pre-award solution engineering capabilities in support of revenue growth, deal differentiation, and customer confidence. It blends executive presence with deep, full-stack technical skills across advanced development technologies and tools, modern data architectures, and AI. •    This role has accountability for coordination across opportunity-assigned Developers, Architects, and Solution Engineers, ensuring consistent excellence in technical demonstrations, solution narratives, RFP responses, and overall solution readiness.   •    Reporting directly to the Chief Solutions Officer, this highly visible role partners closely with Growth leadership and cross functional stakeholders to drive success on complex, high value pursuits while building a scalable, high performing solution engineering organization. Responsibilities Leadership and Strategy:   •    Align solution engineering priorities with sales strategy and platform enablement objectives  •    Serve as a trusted advisor to Solutions, Growth, and executive leadership on technical solution engineering strategy, deal risk, and differentiation  •    Provide technical demonstration oversight and guidance on the organization’s most complex and strategically significant pursuits   Team Leadership:  •    Serve as the technical lead for Request for Information (RFI) and Request for Proposal (RFP) responses, ensuring technical accuracy and security compliance.  •    Own standards for demonstration quality, technical solution storytelling, and technical RFP responses  •    Ensure consistent, compelling, and differentiated customer-facing solution delivery  •    Build reusable accelerators (demo environments, components, POC assets, playbooks, best practices) and enable others to scale delivery  •    As Technical Demonstration Lead, oversee demo readiness, environment quality, and data integrity  •    Ensure effective identification, documentation, and escalation of demo defects  Sales and Customer Engagement:  •    Confidently present technical solutions to GS/Executive-level leadership and political appointees, simplifying complex tech into mission outcomes.  •    Lead deep technical and business discovery sessions with federal stakeholders to uncover mission gaps, pain points, and legacy bottlenecks to scope agentic solution use cases, translate outcomes/ROI into an executable architecture, demonstration/proof-of-concept (POC) and activation plan  •    Partner closely with Growth leadership to influence deal strategy and positioning  •    Ensure solutions clearly articulate business value, differentiation, and outcomes  Cross Functional Collaboration:  •    Coordinate with technical demonstration SMEs as assigned and allocated from internal and teaming partners   •    Translate customer and market feedback into actionable insights.   Requirements •    10 years of experience with in a customer-facing or support role.  •    5 years of experience as a sales solution architecture or engineering manager in a technical, customer-facing role.  •    5 years of experience supporting, or selling to, Federal Government customers.  •    Strong executive communication and presentation skills  •    Demonstrated ability to influence sales strategy and customer outcomes  •    Experience as a sales leader, managing a team.  •    Ability to obtain a Top Secret security clearance.  •    Experience with product and solution life-cycles, building tools, architecting and developing for scalable deployments, including data platforms, ML platforms, AI infrastructure and generative