Manager, Cyber - Applied AI Architect

Hire, coach, and develop a team of Cyber Applied AI Architects, setting clear expectations for technical excellence, customer impact, and career growth.

Establish team priorities, allocate resources, and balance pre-sales engagements with post-sales implementation and adoption.

Lead technical discovery with security executives, practitioners, architects, and engineering teams.

Partner with Sales and Solutions Engineering on AI solution design, demonstrations, workshops, technical validation, and proofs of concept.

Guide your team in translating customer requirements into clear solution architectures, implementation plans, success criteria, and technical milestones.

Oversee solutions from pre-sales architecture and prototyping through production deployment and adoption.

Serve as a senior technical partner for strategic customers, coordinating stakeholders and internal Product, Engineering, Security, and GTM teams.

Remain hands-on in designing, building, and troubleshooting complex integrations involving OpenAI models and APIs, Codex, agents, security tools, cloud platforms, and enterprise workflows.

Set standards for architectural reviews, evaluation frameworks, governance controls, guardrails, monitoring, and human-review processes.

Identify technical risks, resolve escalations, and turn customer feedback into actionable product and engineering priorities.

Measure team performance, customer adoption, and business impact, ensuring AI-enabled solutions deliver meaningful security outcomes.

Build reusable reference architectures, playbooks, demonstrations, and best practices that help the team scale.

Have experience hiring, managing, and developing customer-facing technical teams across solutions architecture, engineering, implementation, or professional services.

Bring experience spanning both pre-sales technical engagement and post-sales delivery, with ownership of customer outcomes.

Have hands-on cybersecurity expertise across areas such as AppSec, DevSecOps, cloud security, SOC, incident response, vulnerability management, identity, or security architecture.

Can coach architects, lead executive-level technical conversations, and remain comfortable designing, building, and troubleshooting solutions.

Have experience applying AI models, APIs, or agentic patterns to practical workflows and guiding pilots into production.

Can prioritize across customer engagements, manage technical escalations, and communicate architectural decisions and tradeoffs clearly.

Enjoy building teams and operating models in ambiguous environments while taking ownership of measurable customer adoption and impact.