Job Description
Role Overview We are hiring a highly technical, customer-facing AI Security Solutions Engineer to support a rapidly growing enterprise customer base across North America. This is a hybrid pre-sales and post-sales role focused on helping customers evaluate, deploy, integrate, and operationalize an AI security platform within complex enterprise environments. You will work directly with CISOs, security leaders, AI engineering teams, and platform architects to solve emerging AI security challenges in production systems. You’ll partner closely with Sales, Product, Engineering, and Customer Success to drive technical wins, influence product direction, and serve as a trusted advisor throughout the customer lifecycle. This role is ideal for someone who thrives in fast-moving startup environments and has experience bringing innovative cybersecurity or AI technologies to market. What You’ll Do Partner with Sales to lead technical discovery, product demos, evaluations, and proof-of-concepts Support onboarding, deployment, and integration of the platform into enterprise environments Advise customers on AI security best practices, adversarial threat mitigation, and secure deployment architectures Work directly with security teams, AI engineers, platform teams, and executives to translate technical capabilities into business value Collaborate cross-functionally with Product and Engineering to influence roadmap priorities based on customer feedback Build reusable deployment patterns, technical documentation, enablement resources, and integration playbooks Serve as a technical subject matter expert in AI security, AI infrastructure, and runtime defense Support strategic customer relationships and help accelerate enterprise adoption of AI technologies securely What We’re Looking For 6 + years of experience in Solutions Engineering, Security Engineering, Sales Engineering, Customer Engineering, or related customer-facing technical roles Strong background in cybersecurity, including cloud security, application security, threat detection, infrastructure security, or AI security Experience working with AI/ML systems, LLMs, model deployment, inference infrastructure, or AI application architectures Experience supporting enterprise customers in highly technical environments Hands-on experience with APIs, integrations, cloud platforms, and deployment workflows Ability to communicate complex technical concepts clearly to both executive and technical audiences Experience in startup, scale-up, or high-growth environments preferred Familiarity with modern AI infrastructure and security tooling strongly preferred Preferred Backgrounds Candidates may come from AI-native companies AI infrastructure startups Cloud security platforms Leading cybersecurity organizations Platform engineering or DevSecOps environments Security consulting or offensive security teams Technical Experience We Value Cloud platforms (AWS, GCP, Azure) APIs and distributed systems LLM infrastructure and AI deployment architectures Kubernetes, containers, and modern infrastructure tooling Detection engineering, runtime security, or AI guardrails Python or scripting experience Security testing, red teaming, or adversarial AI concepts Why Join Opportunity to help define one of the fastest-growing categories in cybersecurity Work directly with leading AI and security teams solving real-world AI risks High ownership and visibility in a fast-moving startup environment Collaborative, technical, and mission-driven culture Competitive compensation, equity, and strong growth opportunity 200-300k OTE If you’re excited about the future of AI security and want to work at the forefront of protecting AI systems in production, we’d love to connect.