VP, Horizontal AI Product

New

JobgetherCybersecurity software

Remote position within the United States.Full-TimeVp

SalaryBase salary: $350,000–$375,000 per year for US-based candidates. Additional compensation: Eligibility for variable or incentive compensation and equity awards.

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Job Details

Experience: At least 15 years of experience in product management or technical leadership within enterprise software environments.
Required Skills: CybersecurityProduct ManagementCross-functional Team LeadershipProduct Development

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.
Experience managing product strategy and execution across multiple products or business units.
Track record of building and scaling AI products and platforms from early 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 decisions about reliability, launch readiness, cost, and autonomy.
Background in cybersecurity, secure infrastructure, or another mission-critical enterprise technology environment.
Ability to lead complex cross-functional product launches and align senior stakeholders across teams with independent roadmaps.
Experience recruiting, managing, and developing high-performing product teams and senior leaders.
Strategic judgment connecting research opportunities, customer needs, technical trade-offs, and commercial objectives.
Experience partnering with AI research leaders to shape research priorities and commercialize original research is an additional asset.
Experience creating product categories or commercial models for AI capabilities is an additional asset.
Experience deploying autonomous capabilities in production security workflows is an additional asset.
Experience driving adoption of shared AI platforms through developer ecosystems, open-source initiatives, or industry partnerships is an additional asset.

Responsibilities

Define product strategy, investment priorities, and the long-term roadmap for the horizontal AI product portfolio.
Establish success criteria for customer adoption, revenue contribution, security-operations improvements, and shared-capability adoption.
Balance near-term delivery with long-term investments, deciding which initiatives to expand, adjust, or discontinue.
Translate AI research and model capabilities into market-ready products in collaboration with researchers, engineers, and customers.
Determine whether AI capabilities should be integrated into existing products, delivered as shared services, or developed as standalone offerings.
Lead product direction for shared AI platform capabilities, including the services, tools, and infrastructure needed to scale AI-powered products.
Partner with architecture, engineering, and product leaders on build-versus-partner decisions and shared-capability adoption.
Establish launch and scaling criteria covering quality, reliability, security, cost efficiency, and human oversight.
Engage security practitioners, enterprise customers, and design partners to identify workflows and validate AI capabilities.
Collaborate with Product Marketing, Sales, Customer Success, and business-unit product leaders on pricing, packaging, launches, and customer growth.
Recruit, lead, and develop AI-focused product leaders and establish team accountability and operating processes.

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