VP, Horizontal AI Product

Accountabilities:: Define and lead product strategy, investment priorities, and the long-term roadmap for the horizontal AI product portfolio. Establish measurable success criteria covering customer adoption, revenue contribution, improvements in security operations, and the adoption of shared capabilities across product teams. Balance short-term delivery objectives with long-term strategic investments, determining which initiatives should be expanded, adjusted, or discontinued. Translate AI research and emerging model capabilities into market-ready products by collaborating with researchers, engineers, and customers from experimentation through launch and ongoing development. Determine whether new AI capabilities should be integrated into existing products, delivered as shared services, or developed into standalone offerings, establishing clear ownership and delivery responsibilities. Lead product direction for shared AI platform capabilities, defining the services, tools, and infrastructure required to build and scale AI-powered products. Partner with architecture, engineering, and product leadership on build-versus-partner decisions and drive adoption of shared AI capabilities across product teams. Establish launch and scaling criteria in collaboration with product and engineering leaders, including standards for quality, reliability, security, cost efficiency, and appropriate human oversight. Engage directly with security practitioners, enterprise customers, and design partners to identify valuable workflows and validate AI capabilities in real-world operating environments. Collaborate with Product Marketing, Sales, Customer Success, and business-unit product leaders on pricing, packaging, product launches, and customer growth. Recruit, lead, and develop AI-focused product leaders, establishing clear accountability, effective operating processes, and a high-performing team. Requirements: Bachelor's, master's, or PhD degree in Computer Science, Computer Engineering, or a related technical discipline, or equivalent practical experience. At least 15 years of experience in product management or technical leadership within enterprise software environments. Demonstrated experience managing product strategy and execution across multiple products or business units. Proven track record of building and scaling AI products and platforms from early-stage development through production, customer adoption, and measurable business impact. Strong technical understanding of AI systems and the infrastructure required to support them at scale. Experience using AI evaluations, customer evidence, and performance data to guide product decisions related to reliability, launch readiness, cost, and appropriate levels of autonomy. Background in cybersecurity, secure infrastructure, or another mission-critical enterprise technology environment. Demonstrated ability to lead complex, cross-functional product launches and align senior stakeholders around shared priorities across teams with independent roadmaps. Experience recruiting, managing, and developing high-performing product teams and senior leaders. Strong strategic judgment and the ability to connect research opportunities, customer needs, technical trade-offs, and commercial objectives. Additional assets: Experience partnering with AI research leaders to shape research priorities and commercialize original research into products with sustained adoption. Additional assets: Experience creating new product categories or developing successful commercial models for AI capabilities. Additional assets: Experience deploying autonomous capabilities within production security workflows. Additional assets: Experience driving adoption of shared AI platforms through developer ecosystems, open-source initiatives, or industry partnerships. Benefits: Base salary: $350,000–$375,000 per year for US-based candidates. Additional compensation: Eligibility for variable or incentive compensation and equity awards. Comprehensive benefits: Access to a broad employee benefits package. Well-being: Physical and mental wellness programs. Time off: Competitive vacation allowance and paid holidays. Family support: Paid parental and adoption leave. Professional development: Learning and career development opportunities available across all levels and roles. Employee community: Employee networks, local community groups, and volunteer opportunities. Work arrangement: Remote position within the United States.