VP, Solutions Engineer NAM

North America · United States · USD 444,500-634,500 · Posted Oct 6, 2026

At a glance

Netskope is seeking a strategic and transformational VP of Solutions Engineering for North America to lead and scale a high-performing organization.
This executive will report to the WW Head of Solutions Engineering and focus on building an organization that translates customer requirements into technical wins and revenue.
The role emphasizes scaling people, methodology, and execution in a high-growth environment, with a focus on AI security and modern cloud technologies.

Lead, develop, and scale a high-performing Solutions Engineering organization across multiple countries and markets.
Build a strong leadership bench through recruitment, coaching, and succession planning.
Establish an operating model that balances field coverage, strategic account support, and organizational efficiency.
Own and evolve the Solutions Engineering methodology across discovery, qualification, and technical close.
Establish a metrics-driven operating cadence for pipeline coverage, technical win rates, and sales-cycle velocity.
Partner with Sales leadership to align SE strategy and capacity with revenue objectives.
Collaborate with Product and Engineering to translate field intelligence into actionable product priorities.
Lead the evolution of the organization to support AI security and implement AI-enabled workflows to improve productivity.
Engage directly with senior technology executives (CIOs, CISOs, CTOs) at strategic accounts.
Represent the technical voice of the region in company-wide GTM and strategic planning.

Proven executive leadership experience building and scaling large, high-performing Solutions Engineering or technical pre-sales organizations.
Experience within a high-growth B2B SaaS, cybersecurity, networking, cloud, or technology company.
Demonstrated success leading through leaders across multiple countries, cultures, and time zones.
Experience designing and improving pre-sales methodology and operating models.
Strong understanding of modern cybersecurity and cloud technologies, including SASE, SSE, ZTNA, data security, cloud security, and AI security.
Ability to translate complex technology into business outcomes for senior executives.
Strong commercial acumen regarding enterprise sales cycles, POV/POC strategy, and pipeline management.
Experience using data, automation, and AI to improve organizational productivity.
Bachelor's degree in Computer Science, Engineering, or related field.