Senior Solutions Engineer, West US, AI Security

Senior Solutions Engineer, West US, AI Security

• Full-time
• CP Department:
  Products - R&D
• Career site Category:
  Sales

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 work spaces, 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.

• Act as the primary technical point of contact for prospects evaluating our product. Understand their needs and design solutions that align with their infrastructure using our platform.
• Partner with Customer Success to ensure customers onboard quickly and realize value from the platform.
• Develop and maintain technical documentation and guides to streamline pre‑sales and guide post‑sales workflows.
• Support product configuration and deliver minor technical changes required for prospect and customer implementations.
• Feed prospect feedback directly into Product and Engineering, helping shape the roadmap and ensuring the platform evolves with real-world needs.
• Lay the foundation for a scalable Solutions Engineering function by building playbooks and repeatable best practices.

• 5+ years of experience as a Solutions Engineer, Sales Engineer, Solutions Architect, or similar role.
• A track record of managing relationships with large, complex organizations, preferably with a deeply technical enterprise product.
• A track record of enabling large scale implementations in at least one of the hyperscalers (AWS, GCP, Azure). Preferred experience with Docker, Kubernetes, and Terraform.
• An understanding of and experience navigating security, compliance, and IT processes and requirements when implementing B2B products at large enterprises.
• Strong written and verbal communication and interpersonal skills with a comfort presenting in front of customers 1:1, in small groups, and at large conference venues.
• A track record of working directly with customers of varying sizes, including large enterprises.
• An organized, self‑starter approach with an eye for finding creative ways to get projects to the finish line.
• A passion for what AI can do for the good of humanity and a desire to ensure that it is implemented in a secure and ethical way.