Technical Customer Success Manager (AI Agent Security)

Location: US-based remote role supporting customers on the West Coast; flexibility is required for meetings across multiple U.S. time zones, with approximately 20–30% travel for customer on-site engagements and strategic meetings.

Company

hirify.global provides an AI agent security platform covering visibility, governance, detection, prevention, and response across the full AI agent lifecycle.

What you will do

• Own the technical and strategic success of complex enterprise accounts as the primary technical and executive-facing partner after the sale.
• Lead onboarding and implementation, including discovery, training, risk assessment, solution design, configuration, integrations, and initial security posture setup.
• Advise customers on cybersecurity, application security, AI agent security, low-code/no-code governance, policies, automations, and remediation.
• Coordinate customer stakeholders and internal Product, Engineering, Sales, and Field Engineering teams across deployments, integrations, governance approvals, escalations, and expansion.
• Run executive strategic reviews and QBRs covering risk posture, platform usage, security improvements, roadmap alignment, ROI, and expansion opportunities.
• Translate enterprise requirements and customer insights into success plans, deployment strategies, technical risk assessments, and product roadmap input.

Requirements

• Strong background in cybersecurity, application security, and governance frameworks.
• 4+ years of experience in customer-facing technical roles.
• Experience building relationships with engineers and C-level executives, leading customer journeys, and delivering executive presentations, QBRs, and workshops.
• Strong communication and data analysis skills, including the ability to translate technical concepts into business value.
• Familiarity with security standards and frameworks such as OWASP and MITRE.
• Ability to travel approximately 20–30% and accommodate meetings across multiple U.S. time zones.

Nice to have

• Knowledge of low-code/no-code platforms, AI governance, and data protection.

Culture & Benefits

• Ownership, direct feedback, high standards, urgency, and accountability are valued.
• Work in a fast-paced startup environment with evolving priorities and challenges.
• Collaborate across Customer Success, Product, Engineering, Sales, and Field Engineering.
• Contribute to securing and governing AI agents at enterprise scale.

Hiring process

• Recruiter screen, hiring manager interview, and People Team interview.
• Sales Engineering Leadership interview.
• Leadership interview with the CRO or CEO focused on technical depth, security expertise, and cross-functional execution.