• Lead customer onboarding and implementation for AISim Physics and ML-based solutions, including technical discovery, solution design, configuration, and production readiness. • Serve as a trusted technical advisor to Product and Engineering teams; run architecture workshops and technical deep dives. • Build and maintain reference architectures, integration patterns, and implementation runbooks to improve time-to-value and reduce onboarding friction. • Drive enterprise-grade deployment best practices across security, identity/access, networking, observability, reliability, and cost/performance optimization. • Provide technical escalation support and root-cause analysis in partnership with Engineering; contribute to durable fixes and documentation. • Contribute to field motions as needed (solution scoping, demos, proof-of-value plans, RFP/security responses).

• Lead in-depth technical discovery sessions and deliver tailored product demonstrations that address customer mission requirements and technical constraints. • Own the end-to-end execution of proofs of value (PoVs), including technical scoping, environment setup, customer guidance, and evaluation against success criteria to secure technical wins. • Apply expertise in federal compliance and secure architectures (e.g., FedRAMP, NIST, RMF) to ensure effective deployment within restricted government environments. • Act as the technical voice of the customer, partnering with Product and Engineering teams to provide field feedback and influence roadmap priorities for public sector use cases. • Manage assigned accounts with a high degree of ownership, proactively identifying risks, driving opportunities, and operating independently in a fast-paced environment.

• Architect, design, and develop complete, reusable, and customer-agnostic security solutions, use cases, and templates for the Swimlane Turbine platform. • Convert proof of concepts and ideas into highly functional, scalable, and maintainable solutions for our product marketplace. • Integrate AI into security workflows, leveraging Turbine’s agentic AI capabilities to automate complex decision-making. • Collaborate with Product Management and UX teams to define functional specifications and translate customer needs into technical designs. • Act as a key subject matter expert on security domains and the practical application of AI and LLMs in security automation. • Master the Swimlane Turbine platform, using its low-code canvas to build sophisticated automation playbooks, custom user interfaces, and insightful dashboards.

• Technical Pre-Sales Leadership: Partner with Sales to lead technical discovery, scope solutions, and support complex enterprise deals involving C-level technical and business stakeholders. • Solution Architecture & Design: Design secure, scalable end-to-end architectures for LLM-powered and ML-driven applications, including data flows, deployment models, and integration patterns. • Forward-Deployed Engineering: Build prototypes, proof-of-concepts, and demos showcasing Generative AI and traditional ML use cases tailored to customer environments. • Security & Compliance Support: Support customer conversations around IT security, privacy, and compliance requirements for SaaS deployments. • Customer Technical Engagement: Act as the trusted technical advisor throughout evaluations, pilots, and early production deployments. • GTM Enablement: Enable internal teams with technical narratives, demos, and reference architectures that clearly communicate Prem AI’s value. • Product Feedback Loop: Surface customer insights to Product and Engineering to influence roadmap and improve platform usability. • Deployment Readiness: Help customers plan for production — including cloud architecture, networking considerations, inference infrastructure, and cost awareness.