The GTM AI Engineer will own the identification, prioritization, and delivery of AI-driven workflow improvements across the company, translating business needs into scalable AI solutions, prompt libraries, and automations embedded into core business systems. Key duties include building production-grade AI workflows for GTM execution and developing intelligent automations using orchestration tools and LLM frameworks.
Candidates must have a relevant Bachelor's degree or equivalent experience, with a minimum of 4 years in business applications or a similar role, demonstrating hands-on experience building operational software and delivering end-to-end AI workflows with measurable impact. Practical knowledge of LLM platforms, prompt engineering, and experience with automation/orchestration tools like LangChain or n8n are essential.
ScaleOps is redefining cloud resource management from the ground up. Led by a team of cloud infrastructure experts and built for critical production environments, ScaleOps is on a mission to build the Cloud Operating System for the AI era, one that unlocks efficiency and scale while maximizing performance in critical and complex production environments. By bringing real-time, application context-aware automation to cloud resource management, the ScaleOps platform helps organizations eliminate waste, reduce costs, and run critical applications with confidence across any environment.