Solutions Engineer (New York City, New York)

About the role

Lakera, a Check Point Company, is seeking a Solutions Engineer to accelerate sales velocity, increase customer success and shape the product experience as we scale. In this customer-facing role, you’ll be the primary technical point of contact through the sales process and a resource for customer success. You’ll translate customer needs into solutions, architecting with Check Point's AI Defense Plane to help enterprises secure their AI stacks and unlock cutting-edge use cases. You’ll work closely with Sales, Customer Success, Product, and Engineering to ensure we deliver on our mission.

What You’ll Do

• 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.