Senior Customer Success Manager
Confirmed on the employer's own hiring board on Nov 12, 2026. First seen by Alion on Nov 6, 2026. Check Point Software Technologies scores A on the Alion truth index.
At Check Point, what you do matters. Every day, we protect over 100,000 organizations worldwide from increasingly sophisticated cyber and AI-driven threats, securing their AI transformation.
Our prevention-first approach safeguards hybrid networks, cloud environments, digital workspaces, and AI systems, stopping attacks before they happen.
This is where innovation meets real-world impact. You’ll help customers across industries operate with confidence in a rapidly changing digital world, working alongside smart, curious people who take ownership, challenge assumptions, and solve complex problems.
We’re proud to be recognized by TIME, Newsweek, and Forbes for excellence and workplace culture.
What really sets Check Point apart is the opportunity to grow, contribute, and help companies navigate their AI transformation securely.
If you’re excited to work at the forefront of AI-driven security on a global scale, this is the place to do it
About the Role
Check Point Software Technologies protects organizations as they adopt generative AI. Our AI Security
portfolio includes AI Agent Security, which secures AI applications and agents at runtime; Workforce AI,
which gives enterprises visibility and governance over employee AI usage; and AI Red Team, which helps
organizations test AI systems against adversarial attacks.
We are looking for a Senior Customer Success Manager to drive post-sales customer success for our
EMEA customers. You will own customer outcomes across all three products, work with some of the
largest enterprises in the world, and build trusted relationships with senior security and technology leaders.
Your work will drive adoption, retention, and expansion, and you will partner closely with Support,
Solutions Architecture, Product, and Sales.
Responsibilities
- Own the post-sales relationship and health for EMEA customers across AI Agent Security, Workforce AI, and AI Red Team.
- Engage with some of the largest enterprise customers in the world, including CISOs, Heads of IT, Heads of Security, and other senior stakeholders.
- Lead onboarding and adoption programs that take customers from initial deployment to measurable security outcomes.
- Build success plans with clear goals, milestones, and value metrics, and track progress with executive sponsors.
- Drive retention and expansion by identifying new use cases, cross-product opportunities, and renewal risks early.
- Oversee support escalations and ensure timely, high-quality resolution in partnership with the Support team.
- Serve as the voice of the customer, sharing insights with Product and Engineering to shape the roadmap.
- Create repeatable playbooks, enablement content, and reporting for EMEA customer success.
- Partner with Account Managers and Account Executives on account planning, renewals, and expansion strategy.
- Work closely with the post-sales Solutions Architect, who serves as the technical resource for customers, to scope deployments, resolve technical blockers, and deliver technical value.
Qualifications
- 7+ years in customer success, account management, or technical customer-facing roles.
- Experience with enterprise SaaS products, with a track record managing complex, multi-stakeholder accounts.
- Proven ability to manage multiple products and drive outcomes across large, global enterprise accounts.
- Strong executive presence and the ability to build credibility with CISOs and senior IT and security leaders.
- Excellent written and verbal communication skills, with the ability to present to executives.
- Data-driven approach to customer health, adoption, and retention metrics.
- Fluency in English required; additional European languages are a plus.
- Willingness to travel within the EMEA region as needed.
Preferred
- Experience in cybersecurity, cloud security, or AI/ML product environments.
- Understanding of AI security concepts such as prompt injection, data leakage, model risk, and AI governance.
- Experience selling or supporting products in the workforce or employee AI usage space.
- Familiarity with red teaming, penetration testing, or security assessment workflows.