Agentic AI Solutions Engineer

What You'll Do

Own Design Partners and Early Access Customers

• Identify and recruit strong candidates for design partnerships and Early Access programs, working closely with Sales and SE teams.
• Own the technical relationship with design partners and EA customers from initial engagement through deployment and ongoing usage.
• Build and maintain a healthy portfolio of actively engaged design partners.
• Understand customers’ environments, workflows, security requirements, and success criteria.
• Help customers deploy, configure, integrate, and evaluate emerging Agentic AI capabilities.
• Drive customers toward meaningful real-world usage rather than isolated demos or proofs of concept.
• Track adoption, outcomes, blockers, and feedback across the design partner and EA portfolio.
• Maintain ongoing relationships with customers to ensure early enthusiasm turns into sustained engagement and actionable product feedback.

Bring the Field into R&D

• Develop a deep understanding of how customers use the product and where they encounter friction.
• Translate customer conversations into concrete product requirements, technical insights, and prioritization signals for R&D and Product.
• Identify recurring patterns across customers rather than treating every request as a one-off.
• Work directly with engineers and product leaders to reproduce issues, validate assumptions, and test potential solutions.
• Regularly synthesize customer feedback into clear recommendations for R&D and Product.
• Help the R&D organization understand what is required for new capabilities to succeed in real production environments.

Make New Capabilities Sellable and Repeatable

• Continuously improve technical sales collateral based on what works in real customer conversations.
• Build and maintain demos, technical presentations, solution guides, deployment guidance, FAQs, objection handling, and other enablement materials.
• Develop repeatable technical narratives, qualification criteria, and demo flows that can be adopted by the broader SE organization.
• Enable Check Point SEs on new Agentic AI capabilities and support technically complex early customer engagements.
• Partner with Product, Product Marketing, Sales, and SE leadership as capabilities mature from Early Access toward broader availability.
• Help transition capabilities from R&D-led customer engagements into motions that regular Check Point SEs can successfully execute.

Build Customer Evidence and Case Studies

• Proactively identify design partners and EA customers that can become strong customer references and case studies.
• Drive the technical and customer-facing work required to turn successful deployments into concrete, evidence-based case studies, in collaboration with customers, Sales, Product Marketing, and other relevant teams.
• Capture measurable customer outcomes, use cases, deployment details, and lessons learned so that case studies are credible and useful to the broader field organization.
• Own the process through completion rather than treating customer advocacy as a handoff after the technical engagement.

• Prior experience at Check Point or another cybersecurity company that develops and sells enterprise firewall or firewall management products. This is a mandatory requirement.
• Strong understanding of enterprise firewall and security-management environments, including how these products are evaluated, deployed, managed, and operated by customers.
• Significant customer-facing experience in a technical role such as Solutions Engineering, Sales Engineering, Solutions Architecture, Technical Account Management, or a similar position.
• Experience working directly with enterprise security teams and understanding their technical and operational requirements.
• Ability to build credibility with both deeply technical practitioners and senior customer stakeholders.
• Strong hands-on technical skills and the ability to understand, troubleshoot, and demonstrate complex software systems.
• Experience leading customer evaluations, pilots, design partnerships, or Early Access programs.
• Demonstrated ability to develop customer references, success stories, or case studies from successful technical engagements.
• Ability to turn ambiguous customer feedback into concrete technical and product insights.
• Excellent written and verbal communication skills, including the ability to create clear technical presentations and sales collateral.
• Comfortable operating in an environment where the product is evolving quickly and the playbook is still being created.
• Strong ownership and ability to drive customer engagements across R&D, Product, Sales, and SE organizations.

Strong Advantages

• Hands-on experience with LLM applications, AI agents, or production AI systems.
• Experience with APIs, cloud environments, integrations, and enterprise software architectures.
• Experience launching new products or capabilities with design partners before general availability.
• Experience moving between R&D/product and customer-facing roles.
• Experience building technical enablement and transferring an early sales motion to a larger SE organization.