Lead Customer Success Engineer
New
J
JobgetherAI Security
Remote work opportunity with flexibility across the United States.Full-TimeLead
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Experience
- 8+ years
- Required Skills
- Project ManagementCloud ComputingSaaSLLMLangChain
Requirements
- 8+ years of experience in customer success, sales engineering, solutions engineering, or related technical customer-facing roles.
- Experience supporting security or SaaS products.
- Experience working with early-stage products, incubation environments, or rapidly evolving technology solutions.
- Strong understanding of large language models, agentic AI technologies, AI agent frameworks, and AI governance concepts.
- Hands-on experience with AI frameworks and platforms such as LangChain, n8n, Replit, Microsoft Copilot Studio, Azure AI Foundry, Amazon Bedrock, or Google Gemini.
- Familiarity with AI gateways such as LiteLLM, Kong, or Portkey.
- Knowledge of MCP servers and MCP gateways.
- Experience with at least one major cloud platform (AWS, Azure, or Google Cloud Platform) including networking and access management.
- Familiarity with AI governance and security solutions, including cloud-based governance frameworks and AI guardrails.
- Proven ability to manage enterprise customers and build relationships from technical teams to executive stakeholders.
- Strong understanding of go-to-market strategies and customer expansion opportunities.
- Excellent technical documentation skills for creating customer-facing guides and internal resources.
- Strong project management, communication, and collaboration skills.
Responsibilities
- Serve as the primary technical advisor for enterprise customers, guiding onboarding, deployment, configuration, and operationalization processes.
- Lead customer deployments, proof-of-value engagements, and technical adoption initiatives across complex environments.
- Develop and execute customer success plans that connect technical capabilities with business objectives, AI governance strategies, security priorities, and compliance requirements.
- Drive deep product adoption by helping customers maximize platform capabilities, optimize workflows, and achieve measurable value.
- Monitor customer health, identify risks, and proactively address technical or organizational blockers.
- Partner with Product Management and Engineering teams by validating new features, conducting customer testing, and providing actionable feedback.
- Support pre-sales activities as a subject matter expert during strategic customer engagements.
- Identify adoption challenges and create scalable processes, playbooks, documentation, and enablement resources.
- Act as a technical escalation point for product capabilities and customer-specific solutions.
- Train internal teams to improve customer onboarding and operational readiness.
View Full Description & ApplyYou'll be redirected to the employer's site
