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Provides pre-sales technical leadership for AI security solutions, including technical discovery, architecture reviews, demonstrations, proof-of-concepts, deployment support, partner enablement, and customer training. The role supports sales strategy, develops demo environments, enables regional sales engineers, manages technical handoffs, and builds relationships with enterprise AI and security leaders. Requires AI security expertise, cloud deployment experience, Docker and Kubernetes knowledge, and travel up to 50%.

Partners with account managers to lead technical sales engagements for cybersecurity solutions. Conducts discovery sessions, assessments, workshops, architecture design, presentations, and demonstrations covering networking, cloud, endpoint security, SecOps, Zero Trust, SASE, and identity. Advises executives and technical stakeholders, aligns solutions with business outcomes, supports deployment transitions, and maintains strategic customer relationships through post-sales reviews and roadmap guidance.

Build and maintain an AI-powered technical interview pipeline, including question repositories, automated test delivery, answer collection, LLM-based scoring, reporting, and quality controls. Calibrate prompts and models against human-graded samples, monitor accuracy, consistency, bias, and failure modes, and route uncertain cases for human review. Automate internal workflows, document scoring logic, and support Git platform migration and future tooling projects.

Supports pre-sales execution for AI security solutions through technical discovery, architecture reviews, proofs of concept, demonstrations, customer deployments, partner enablement, and technical training. The role develops regional sales engineers, maintains demo environments, supports cloud and self-hosted deployments, leads customer engagements, and builds relationships with technical decision-makers. It also serves as an AI security evangelist focused on agentic AI best practices and secure AI adoption.

Designs and delivers scalable sales onboarding curricula, digital learning paths, interactive workshops, assessments, and enablement toolkits. Translates complex cybersecurity and SaaS concepts into actionable sales training, administers LMS content and reporting, and partners with product marketing, sales tools, RevOps, and sales leadership. Measures learning effectiveness through telemetry and readiness KPIs such as competency pass rates, time-to-first-opportunity, and pipeline generation velocity.

Design and architect high-performance ASICs for AI-powered network processing, covering microarchitecture, RTL implementation, verification, synthesis, timing analysis, FPGA prototyping, physical design optimization, IP integration, system bring-up, and post-silicon debugging. Collaborate with architecture, verification, physical design, and cross-functional engineering teams throughout the ASIC development lifecycle.

Supports pre-sales execution for AI security solutions through technical discovery, architecture reviews, demonstrations, proof of concepts, deployment assistance, partner enablement, and customer training. The role develops sales engineers, manages demo environments, supports channel partners, facilitates technical handovers, and engages CTOs, CISOs, and AI leaders. It requires AI security expertise, cloud deployment experience, containerization, Kubernetes, and strong technical communication skills, with travel up to 50%.

Owns go-to-market execution and quota-carrying sales for Fortinet’s AI security solutions. Responsibilities include building pipeline, closing complex enterprise deals, presenting to executives, conducting discovery workshops and demonstrations, training account teams and partners, consulting on AI security architectures, and developing strategic customer relationships. The role requires expertise in AI technologies, cloud platforms, enterprise security, executive engagement, and complex six- and seven-figure sales.

Leads worldwide regulatory compliance and certification activities across the product lifecycle. Coordinates engineering teams, vendors, and test laboratories; provides regulatory requirements during design; conducts verification and certification testing; maintains technical files and labeling; monitors standards and homologation requirements; and manages declarations of conformity and submissions. Requires experience with EMC, RF, safety testing, global certifications, project coordination, and a technical engineering degree.

Support pre-sales execution for AI security solutions by conducting technical discovery, architecture reviews, demonstrations, proofs of concept, deployments, and training. Enable sales engineers and channel partners, manage demo environments, support customer handoffs, and build relationships with technical decision-makers. Promote secure AI and agentic AI deployment practices while helping identify, qualify, and close opportunities across existing and prospective customers.