Technical Customer Success Manager (AI Security)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Technical Customer Success Manager (AI Security): Managing the technical and strategic success of complex enterprise accounts to secure and govern AI agents with an accent on technical orchestration and executive engagement. Focus on leading onboarding, implementing security frameworks for LCNC/AI, and driving value realization for Fortune 500 clients.
Location: Must be based in the US (supporting West Coast). Requires approximately 20–30% travel for customer on-site engagements.
Company
is the leader in AI Agent Security, providing an agent-centric security platform for visibility, governance, and response for AI agents at enterprise scale.
What you will do
- Own the full technical and strategic success of complex enterprise accounts as the primary post-sale partner.
- Lead end-to-end onboarding, including solution design, platform configuration, and technical integrations.
- Serve as the trusted technical advisor on security best practices for LCNC and AI agentic security.
- Run executive-level strategic reviews (QBRs) to articulate risk posture improvements and ROI.
- Collaborate with Product and Engineering to surface customer insights that influence the roadmap.
- Own high-impact technical escalations end-to-end, driving resolution across internal teams.
Requirements
- Must be based in the United States.
- Strong background in cybersecurity, application security, and governance frameworks.
- 4+ years of proven experience in customer-facing technical roles.
- Ability to build strong relationships with stakeholders from engineers to C-level executives.
- Familiarity with industry standards such as OWASP and MITRE.
- Ability to travel 20–30% for on-site engagements and strategic meetings.
Nice to have
- Knowledge of low-code/no-code (LCNC) platforms.
- Experience with AI governance and data protection.
Culture & Benefits
- Opportunity to shape customer success operations in a category-defining AI security company.
- Fast-paced startup environment valuing ownership, direct feedback, and high standards.
- Collaborative culture focusing on urgency, accountability, and measurable impact.
- Backed by $55M+ in funding, including investment from Microsoft’s M12.
Hiring process
- Recruiter screen and Hiring Manager interview.
- Practical exercise: Preparing and presenting a strategic QBR-style review.
- Interviews with Sales Engineering leadership and C-level executives (CRO or CEO).
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