Note: The job is a remote job and is open to candidates in USA. LMNTL.AI is a company that focuses on AI-enabled problem solving and customer success. They are seeking a Customer Success Engineer to work directly with clients to implement solutions and solve complex business problems while leveraging AI tools and collaborating with cross-functional teams.

Responsibilities

• Partner directly with customers to understand messy, real-world business needs
• Translate those needs into working solutions using LMNTL’s Platform, including GoodHelp.AI’s agent operating layer
• Act as a trusted advisor—helping customers unlock value quickly
• Configure, prototype, and implement solutions in live customer environments
• Build lightweight tools, workflows, or integrations where needed
• Use AI tools to accelerate development and reduce manual work
• Leverage AI tools to build, troubleshoot, and improve workflows
• Identify opportunities to automate customer processes
• Demonstrate practical, real-world use of AI to deliver outcomes
• Work closely with product and engineering to relay feedback
• Help shape how the platform evolves based on customer needs
• Bridge the gap between technical capabilities and business use cases

Skills

• Strong technical foundation (CS degree or equivalent experience preferred)
• Experience solving real business problems with technology (not just maintaining systems)
• Comfortable working directly with customers in a consultative environment
• Hands-on experience building or contributing to end-to-end projects (3–5 examples ideal)
• Strong communication skills—able to explain technical concepts clearly
• Strong Python or polyglot programming experience
• Comfortable working across multiple languages or tools (not overly specialized in one stack)
• You actively experiment with AI tools (“building, testing, breaking things”)
• You've built something from scratch or improved a real process end-to-end
• You combine technical skill with empathy and customer focus
• You're comfortable navigating ambiguity and figuring things out
• Experience analyzing systems, troubleshooting, and iterating quickly
• Familiarity with cloud platforms (AWS, GCP)
• Strong preference for candidates who can overlap with East Coast hours for customer support
• Potential for occasional travel to key customer sites (optional, based on fit)

Company Overview