AI Solutions Architect- Post-Sales

About the role

We are seeking a motivated Solutions Architect (Post-Sales) to join our customer success team, specializing in the AI security space. This role involves ensuring successful deployment, adoption, and ongoing value realization of AI security solutions. You will work directly with customers post-sale to integrate our technology into their workflows and help them iterate quickly to maximize security and performance outcomes. Collaboration with customers, leveraging modern technologies (cloud, containerization, networking), and translating feedback into actionable improvements are key.

Responsibilities

• Customer Onboarding & Deployment: Design and implement secure deployments of AI security solutions, ensuring seamless integration into customer environments (cloud, on-prem, or hybrid).
• Technical Guidance & Iteration: Provide expert consultation on infrastructure, containerization (Docker/Kubernetes), and cloud networking. Help customers adopt best practices for secure AI operations.
• Customer Success Ownership: Act as primary technical point of contact post-sale, ensuring ongoing value and successful scaling of deployments.
• Troubleshooting & Optimization: Diagnose and resolve issues, optimize configurations, and identify improvement opportunities.
• Enablement & Training: Deliver workshops, training sessions, and documentation to empower customer teams.
• Feedback Loop: Capture customer feedback and collaborate with product management, engineering, and research teams to inform roadmap priorities.

Requirements

• Proven experience in post-sales, customer success, or solutions engineering (AI, security, or cloud-based products preferred).
• Strong experience with Docker and containerized workloads; familiarity with Kubernetes is highly desirable.
• Hands-on cloud experience (AWS, Azure, or GCP), including cloud networking and Infrastructure as Code (IaC).
• Python programming experience required; familiarity with AI/ML workflows (LangChain, LangGraph, MLOps tools) is a plus.
• Skilled at troubleshooting and guiding customers through iterative solution design.
• Excellent interpersonal and communication skills; comfortable with technical and business stakeholders.
• Self-motivated, adaptable, and passionate about customer success.

Qualifications

• Proven experience in post-sales, customer success, or solutions engineering (AI, security, or cloud-based products preferred).
• Strong experience with Docker and containerized workloads; familiarity with Kubernetes is highly desirable.
• Hands-on cloud experience (AWS, Azure, or GCP), including cloud networking and Infrastructure as Code (IaC).
• Python programming experience required; familiarity with AI/ML workflows (LangChain, LangGraph, MLOps tools) is a plus.
• Skilled at troubleshooting and guiding customers through iterative solution design.
• Excellent interpersonal and communication skills; comfortable with technical and business stakeholders.
• Self-motivated, adaptable, and passionate about customer success.

Skills

• Proven experience in post-sales, customer success, or solutions engineering (AI, security, or cloud-based products preferred).
• Strong experience with Docker and containerized workloads; familiarity with Kubernetes is highly desirable.
• Hands-on cloud experience (AWS, Azure, or GCP), including cloud networking and Infrastructure as Code (IaC).
• Python programming experience required; familiarity with AI/ML workflows (LangChain, LangGraph, MLOps tools) is a plus.
• Skilled at troubleshooting and guiding customers through iterative solution design.
• Excellent interpersonal and communication skills; comfortable with technical and business stakeholders.
• Self-motivated, adaptable, and passionate about customer success.

Benefits

• Fully Remote: Global team with home office stipend, annual upgrades, and monthly internet/phone expense reimbursement.
• Comprehensive Health & Wellness Benefits: Multiple healthcare options, vision, dental, and 401k.
• Flexible Time Off: Unlimited and flexible time off plus 15 paid holidays.
• Commitment to Learning and Development: Dedicated L&D fund for training, conferences, certifications, and industry events.
• Diversity, Equity, and Inclusion: Equal opportunity employer committed to building a diverse team.
• Recent Funding: Closed $50M funding round led by M12 (Microsoft's Venture Fund) and Moore Strategic Ventures.

Pay

• Competitive salary commensurate with experience.

Schedule

• Full-time position, remote within the US.