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. As a post-sales Solutions Architect, you will be instrumental in ensuring the successful deployment, adoption, and ongoing value realization of our AI security solutions. You will work directly with customers after the sale to understand their environments, integrate our technology into their workflows, and help them iterate quickly to maximize security and performance outcomes. Your ability to collaborate with customers, leverage modern technologies (cloud, containerization, networking), and translate feedback into actionable improvements will make you a trusted advisor and a key contributor to our long-term customer relationships.
Who We Are
HiddenLayer protects the world’s most valuable technologies from adversarial AI attacks. Founded by AI professionals and security specialists, we developed a unique, patent-pending solution to help organizations adopt AI securely. Our innovation has been recognized with awards such as RSA's Innovation Sandbox Winner, CB Insights AI 100, CyberTech 100, and SC's Most Promising Early-Stage Start-up.
Responsibilities
- Customer Onboarding & Deployment: Partner with customers to design and implement secure deployments of our AI security solutions, ensuring seamless integration into their environments (cloud, on-prem, or hybrid).
- Technical Guidance & Iteration: Provide expert technical consultation on infrastructure, containerization (Docker/Kubernetes), and cloud networking. Help customers rapidly iterate and adopt best practices for secure AI operations.
- Customer Success Ownership: Act as the primary technical point of contact post-sale, ensuring customers derive ongoing value, achieve their security objectives, and successfully scale their deployments.
- Troubleshooting & Optimization: Diagnose and resolve customer issues, optimize configurations, and proactively identify opportunities for improvement.
- Enablement & Training: Deliver hands-on workshops, training sessions, and technical documentation to empower customer teams to be self-sufficient with our products.
- Feedback Loop: Capture customer feedback and collaborate with product management, engineering, and research teams to inform roadmap priorities and product enhancements.
Qualifications
- Proven experience in a post-sales, customer success, or solutions engineering role (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 concepts and Infrastructure as Code (IaC).
- Python programming experience required; familiarity with AI/ML workflows (LangChain, LangGraph, MLOps tools) is a plus.
- Skilled at troubleshooting technical issues and guiding customers through iterative solution design.
- Excellent interpersonal and communication skills; comfortable working with both technical and business stakeholders.
- Self-motivated, adaptable, and passionate about helping customers succeed.
Why HiddenLayer?
We recently raised $100M in Series B funding, led by Delta-v Capital, with backing from Microsoft's venture arm, Booz Allen Hamilton, and others. This funding supports our platform expansion, GTM capabilities, and global team growth. We’ve achieved 10x revenue growth, added 50+ enterprise customers, and deployed across defense, finance, and major AI platforms.
Benefits
- Fully Remote: Global remote team with stipends for home office setup, annual upgrades, and internet/phone expenses.
- Comprehensive Health & Wellness: Five healthcare options, fully subsidized, plus vision, dental, and 401k.
- Flexible Time Off: Unlimited PTO for salaried employees, plus 15 paid company holidays.
- Learning & Development: Dedicated fund for training, conferences, certifications, and industry events.
- Diversity, Equity, and Inclusion: Committed to building a diverse team and proud to be an equal opportunity employer.