Vectra AI

AI Engineer

• Work on meaningful, high-impact problems alongside experts in AI, data, and cybersecurity.
• Shape systems that operate at real scale in a fast-moving threat landscape.

Senior AI Engineer

Customer Success Manager

• Own the success of a portfolio of commercial and mid-market customers.
• Build trusted advisor relationships with key customer stakeholders through periodic one-to-one engagements.
• Conduct Success Reviews and value conversations based on customer maturity and business needs.
• Develop success plans for customers requiring additional guidance.
• Act as the primary Customer Success contact for assigned accounts.
• Lead customer escalations with urgency, coordinating cross-functional teams to ensure timely resolution and clear customer communication.
• Host weekly virtual Office Hours to provide customers with technical guidance, best practices, and open Q&A sessions.
• Plan and deliver monthly customer enablement webinars focused on product capabilities, new features, security use cases, and operational best practices.
• Partner with Product, Product Marketing, Support, and Education teams to continuously improve customer onboarding, adoption journeys, and self-service resources.

Operations

• Own the day-to-day operational management of the Global University.
• Establish and maintain the University operating model, governance framework, and delivery processes.
• Drive execution against the University roadmap and annual priorities.
• Develop scalable processes that support rapid content creation, maintenance, and delivery.
• Ensure consistency of learner experiences across all University audiences and programs.
• Serve as the University PMO leader responsible for planning, prioritization, resource allocation, and program execution.
• Implement project management methodologies, sprint planning, intake processes, and delivery workflows.
• Manage University program portfolios, project schedules, milestones, dependencies, and stakeholder communications.
• Develop executive dashboards and reporting frameworks.
• Monitor risks, issues, and mitigation plans across University initiatives.
• Create and maintain University standard operating procedures (SOPs).
• Define content development standards, review processes, publishing workflows, and lifecycle management practices.
• Establish governance frameworks for curriculum development, certifications, and content maintenance.
• Lead the University content production model across instructional design, content creation, certifications, and learning programs.
• Develop scalable content development workflows that improve efficiency and reduce production cycle times.
• Manage intake and prioritization of learning requests from stakeholders.
• Ensure appropriate resourcing and workload balancing across content development teams.
• Establish University quality assurance standards and review processes.
• Oversee certification governance, including exam management, certification maintenance, and credential quality standards.
• Ensure University assets remain accurate, current, and aligned with product strategy.
• Measure and continuously improve training effectiveness.
• Partner closely with Sales Enablement, Partner Enablement, Customer Success, Professional Services, Technical Support, Product Management, Product Marketing, and Global Enablement leadership.

Senior AI Engineer

Customer Success Manager

Manager, Global University Programs – Operations