AI Summary
Ensure successful deployment and ongoing value realization of AI security solutions. Collaborate with customers post-sale to integrate technology and maximize security outcomes. Provide technical guidance and troubleshoot issues.
Key Highlights
Customer onboarding & deployment
Technical guidance & iteration
Customer success ownership
Troubleshooting & optimization
Enablement & training
Technical Skills Required
Benefits & Perks
Fully remote work
Comprehensive health & wellness benefits
Flexible time off
Job Description
Job Description
AI Solutions Architect Post-Sales
Location: Austin, TX
- On-site, Remote (Remote within the US)
We are seeking a motivated Solutions Architect Post-Sales to join our customer success team, specializing in the AI security space. You will ensure successful deployment, adoption, and ongoing value realization of our AI security solutions, working directly with customers post-sale to integrate our technology and maximize security and performance outcomes.
What You'll Do
- Customer Onboarding & Deployment: Partner with customers to design and implement secure deployments of our AI security solutions, integrating into cloud, on-prem, or hybrid environments.
- 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, security objectives, and scalable deployments.
- Troubleshooting & Optimization: Diagnose issues, optimize configurations, and identify improvements.
- Enablement & Training: Deliver workshops, training sessions, and technical documentation for customer self-sufficiency.
- Feedback Loop: Capture feedback and collaborate with product management, engineering, and research teams for roadmap priorities.
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- Proven experience in post-sales, customer success, or solutions engineering (AI, security, or cloud-based products preferred).
- Strong experience with Docker and containerized workloads; Kubernetes familiarity highly desirable.
- Hands-on cloud experience (AWS, Azure, or GCP) with cloud networking and Infrastructure as Code (IaC).
- Python programming experience required; AI/ML workflows (LangChain, LangGraph, MLOps) a plus.
- Skilled at troubleshooting and guiding customers through iterative solution design.
- Excellent interpersonal and communication skills.
- Self-motivated, adaptable, passionate about customer success.
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- Fully Remote: Remote global team with home office stipend, annual upgrades, and monthly internet/phone stipend.
- Comprehensive Health & Wellness: Multiple healthcare options, fully subsidized, plus vision, dental, and 401k.
- Flexible Time Off: Unlimited flexible time off and 15 paid holidays.
- Learning & Development: Dedicated L&D fund for training, conferences, certifications, and events.
- Diversity, Equity & Inclusion: Equal opportunity employer committed to building a diverse team.
Machine Learning & Artificial Intelligence
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