we are seeking a skilled and adaptable Solution Architect to lead deep technical engagements during both pre-sales and post-sales phases. You will ensure seamless deployment, resolve complex technical issues, and deliver long-term value to customers through our companys AI-powered cybersecurity platform.
This role also includes ownership of lab environments to simulate customer use cases, validate solutions, and support internal testing and demos-making it a key technical bridge between Product, Engineering, and Customer Success.
The Responsibilities
Build and maintain strong relationships with customers, serving as a trusted technical advisor to understand and address their needs, challenges, and goals.
Collaborate with internal teams, including R&D and Product, to align customer feedback with roadmap priorities and platform improvements.
Lead the technical aspects of Proof of Concepts (PoCs) and guide customers through pre-deployment readiness.
Drive post-sales success by resolving complex issues, optimizing deployments, and identifying opportunities to improve security posture.
Deliver technical enablement and training sessions for customer teams to ensure strong adoption and platform fluency.
Stay informed on the latest in cybersecurity, infrastructure, AI, and cloud technologies to continuously elevate customer outcomes.
Lab Environment Ownership: Responsible for designing, maintaining, and automating lab environments that simulate real world customer deployments to test product features, validate integrations, demonstrate the company platform, and support cross-functional testing and customer issue replication.
This role also includes ownership of lab environments to simulate customer use cases, validate solutions, and support internal testing and demos-making it a key technical bridge between Product, Engineering, and Customer Success.
The Responsibilities
Build and maintain strong relationships with customers, serving as a trusted technical advisor to understand and address their needs, challenges, and goals.
Collaborate with internal teams, including R&D and Product, to align customer feedback with roadmap priorities and platform improvements.
Lead the technical aspects of Proof of Concepts (PoCs) and guide customers through pre-deployment readiness.
Drive post-sales success by resolving complex issues, optimizing deployments, and identifying opportunities to improve security posture.
Deliver technical enablement and training sessions for customer teams to ensure strong adoption and platform fluency.
Stay informed on the latest in cybersecurity, infrastructure, AI, and cloud technologies to continuously elevate customer outcomes.
Lab Environment Ownership: Responsible for designing, maintaining, and automating lab environments that simulate real world customer deployments to test product features, validate integrations, demonstrate the company platform, and support cross-functional testing and customer issue replication.
Requirements:
Experience: 2+ years in a customer-facing technical role. 5+ years of hands-on experience with DevOps technologies and Experience with cybersecurity technologies.
Cloud & Infrastructure Proficiency: Experienced in cloud and on-prem environments with strong knowledge of AWS services, networking, security best practices, and container orchestration using ECS or EKS.
Cybersecurity: Skilled in core cybersecurity technologies and practices, including SIEM, EDR, threat intelligence, detection techniques, and vulnerability management.
Networking Proficiency: Deep understanding of network protocols, security principles, firewalls, and network-based threat analysis.
Scripting & Automation: Proficient in Python, Bash, or Go with hands-on experience in infrastructure automation using tools like Ansible.
Lab Environment Management: Experienced in designing and maintaining lab environments to simulate real-world customer deployments and scenarios.
Virtualization & Infrastructure Tools: Skilled in using VMware (ESXi/vSphere), Terraform, and lightweight Kubernetes platforms for infrastructure provisioning and testing.
Additional Core Skills: Strong problem-solving, executive communication, cross-functional collaboration, and a customer-focused approach to delivering real-world impact.
Willing to travel
Advantages:
Hands-on experience in the cybersecurity landscape
Background in MLOps or any AI-related workflows.
Experience: 2+ years in a customer-facing technical role. 5+ years of hands-on experience with DevOps technologies and Experience with cybersecurity technologies.
Cloud & Infrastructure Proficiency: Experienced in cloud and on-prem environments with strong knowledge of AWS services, networking, security best practices, and container orchestration using ECS or EKS.
Cybersecurity: Skilled in core cybersecurity technologies and practices, including SIEM, EDR, threat intelligence, detection techniques, and vulnerability management.
Networking Proficiency: Deep understanding of network protocols, security principles, firewalls, and network-based threat analysis.
Scripting & Automation: Proficient in Python, Bash, or Go with hands-on experience in infrastructure automation using tools like Ansible.
Lab Environment Management: Experienced in designing and maintaining lab environments to simulate real-world customer deployments and scenarios.
Virtualization & Infrastructure Tools: Skilled in using VMware (ESXi/vSphere), Terraform, and lightweight Kubernetes platforms for infrastructure provisioning and testing.
Additional Core Skills: Strong problem-solving, executive communication, cross-functional collaboration, and a customer-focused approach to delivering real-world impact.
Willing to travel
Advantages:
Hands-on experience in the cybersecurity landscape
Background in MLOps or any AI-related workflows.
This position is open to all candidates.
