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