Senior Solutions Engineer, Germany, AI Security

Check Point Software; München; Vor Ort; EUR 90.000 - 130.000; Vollzeit

Zusammenfassung

Check Point Software in Munich is seeking an experienced Solutions Engineer to be the technical lead in pre-sales and post-sales deployments. You will map customer needs to our security platform, collaborate with Success and Engineering, and drive scalable implementations.

This role requires deep enterprise experience, strong Python/JavaScript coding, and hands-on work with AWS, GCP or Azure, Docker, Kubernetes, and Terraform.

Qualifikationen

• 5+ years of experience as a Solutions Engineer, Sales Engineer, Solutions Architect, or similar role.
• Experience managing relationships with large, complex organizations, preferably with a deeply technical enterprise product.
• Proficiency coding in Python and Javascript ecosystems.
• Experience with hyperscalers (AWS, GCP, Azure) and with Docker, Kubernetes, and Terraform.
• Understanding of security, compliance, and IT processes for B2B products at large enterprises.

Aufgaben

• Act as the primary technical point of contact for prospects evaluating the product and design solutions accordingly.
• Partner with Customer Success to ensure quick onboarding and value realization.
• Develop and maintain technical documentation and guides for pre-sales and post-sales workflows.
• Support product configuration and implement minor technical changes for prospect and customer deployments.
• Provide feedback to Product and Engineering to shape roadmaps based on real-world needs.
• Build playbooks and repeatable best practices to scale the Solutions Engineering function.

Kenntnisse

Solutions engineering

Customer relationships

Python

JavaScript

Cloud deployment

Docker

Kubernetes

Terraform

Security & compliance

Communication skills

Tools

Docker

Kubernetes

Terraform

Jobbeschreibung

Why Join Us

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.

Key Responsibilities

• 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.

Qualifications

• 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.
• Proficiency coding in the Python and Javascript ecosystems.
• 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.
• Comfortable in a small and fast moving startup environment.