AI Engineer Ii, Go-To-Market

Are you excited to revolutionize how AI transforms the way go-to-market teams operate at scale? Do you enjoy designing intelligent workflows and automation that remove friction from Sales, Marketing, and Customer Experience processes? Are you motivated by building AI-powered tooling that directly accelerates revenue and unlocks team productivity? If so, we invite you to be a part of our innovative team. At Ridgeline, the AI Leverage Engineering team focuses on internal AI initiatives that amplify productivity and velocity across the company. As an AI Engineer II focused on go-to-market, you will design and build AI-powered automations, copilots, and workflows that improve how our revenue teams operate. You will partner closely with Sales, Marketing, Customer Experience, Product, and Operations to integrate systems, enhance data flows, and deliver scalable solutions that drive measurable business impact. Our team of engineers are building with cutting-edge technologies—like Claude Code and Cursor—in a fast-moving, creative, progressive work environment. At Ridgeline, how we work matters as much as what we build. Ridgeliners act like owners, choose growth over comfort, and communicate with transparency. We assume positive intent, bias toward action, and bring solutions—not just problems. We celebrate wins, learn from setbacks, and thrive in a resilient, collaborative, high-performing culture.If this excites you, we’d love to meet you! You must be work authorized in the United States without the need for employer sponsorship. The impact you will have: Build AI-powered automations, copilots, and agents that enhance Sales, Marketing, and Customer Experience workflows Design and implement scalable infrastructure for routing, enrichment, signaling, and lifecycle automation across GTM systems Partner directly with cross-functional stakeholders to understand workflows, identify friction points, and deliver high-impact solutions Develop and maintain data pipelines and strategies that improve data quality, accessibility, and reliability across GTM systems Ensure reliability, scalability, and observability across all AI-driven workflows and integrations Translate business needs into technical solutions and lead projects from concept through deployment Collaborate with RevOps and business partners to define success metrics and ensure measurable impact Evaluate and integrate emerging AI tools and technologies to continuously improve the GTM tech stack Leverage modern AI developm