Lead Customer Success Engineer for a partner company based in the United States. This role guides enterprise customers through onboarding, deployment, and long-term value realization of an emerging AI-focused platform, acting as a trusted technical advisor and bridging product, engineering, and support teams to drive successful outcomes. You will own the technical customer journey, lead deployments and proof-of-value engagements, and develop scalable adoption strategies that align with AI governance, security, and compliance requirements. Responsibilities include monitoring customer health, identifying risks, creating playbooks and enablement resources, and collaborating with Product, Engineering, Sales, and Support to drive customer success and product feedback. The ideal candidate has 8+ years of experience in customer success or sales engineering for security or SaaS products, strong knowledge of AI technologies and cloud platforms, hands-on experience with AI frameworks (LangChain, n8n, Replit, Microsoft Copilot Studio, Azure AI Foundry, Amazon Bedrock, Google Gemini), and excellent documentation and cross-functional collaboration skills. The position offers remote work within the United States, competitive compensation, and opportunities to influence product strategy and governance initiatives.

Lead Customer Success Engineer for a partner company based in the United States. This role guides enterprise customers through onboarding, deployment, and long-term value realization of an emerging AI-focused platform, acting as a trusted technical advisor and bridging product, engineering, and support teams to drive successful outcomes. You will own the technical customer journey, lead deployments and proof-of-value engagements, and develop scalable adoption strategies that align with AI governance, security, and compliance requirements. Responsibilities include monitoring customer health, identifying risks, creating playbooks and enablement resources, and collaborating with Product, Engineering, Sales, and Support to drive customer success and product feedback. The ideal candidate has 8+ years of experience in customer success or sales engineering for security or SaaS products, strong knowledge of AI technologies and cloud platforms, hands-on experience with AI frameworks (LangChain, n8n, Replit, Microsoft Copilot Studio, Azure AI Foundry, Amazon Bedrock, Google Gemini), and excellent documentation and cross-functional collaboration skills. The position offers remote work within the United States, competitive compensation, and opportunities to influence product strategy and governance initiatives.