Senior Solutions Engineer, West US, AI Security

Check Point Software Technologies

San Diego (CA)

On-site

USD 120,000 - 160,000

Full time

14 days+

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Job summary

Check Point Software Technologies in San Diego seeks a seasoned Solutions Engineer to be the primary technical contact for prospects, designing solutions that map to customers' infrastructure using our platform.

You will partner with Customer Success to accelerate onboarding, develop technical docs, support configurations, and relay real-world feedback to Product and Engineering to evolve the platform while laying the groundwork for scalable, repeatable best practices.

Qualifications

  • 5+ years in Solutions Engineer, Sales Engineer, or similar role.
  • Experience managing relationships with large, complex organizations.
  • Strong coding in Python and JavaScript ecosystems.
  • Experience with hyperscalers AWS, GCP, Azure; Docker/Kubernetes/Terraform preferred.
  • Understanding security, compliance and IT processes for B2B enterprise deployments.
  • Excellent written and verbal communication; comfortable presenting to diverse audiences.
  • Experience working directly with customers of varying sizes.
  • Organized, self-starter with creative problem-solving approach.
  • Passion for AI and secure, ethical implementation.

Responsibilities

  • Act as the primary technical point of contact for prospects evaluating our product.
  • Partner with Customer Success to ensure onboarding and value realization for customers.
  • 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.
  • Lay the foundation for a scalable Solutions Engineering function by building playbooks and repeatable best practices.

Skills

Solutions engineering
Python
JavaScript
Public speaking / presentations
Enterprise deployments
Customer relationships

Tools

Docker
Kubernetes
Terraform

Job description

Job Description
  • 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.
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