Role Overview: We're seeking a strategic leader who will build and manage the AI infrastructure that powers our entire go-to-market organization. You'll be the AI architect enabling sales, marketing, and customer success teams to leverage artificial intelligence for better targeting, prospecting, segmentation, and customer engagement - while they focus on execution.
Key Responsibilities:
AI Infrastructure & Platform Strategy
● Design and maintain the AI technology stack that supports GTM functions across lead generation, customer segmentation, and territory optimization
● Evaluate, implement, and integrate AI tools and platforms that solve specific business problems for sales, marketing, and customer success teams
● Establish data pipelines and AI model governance to ensure reliable, scalable AI-powered insights and automation
GTM AI Enablement & Support
● Partner with sales leadership to build AI-supported ideal customer profiles and territory mapping that optimize rep productivity
● Work with marketing to implement AI-driven market segmentation, lead scoring, and personalized nurture campaign strategies
● Collaborate with customer success to develop AI-powered customer health monitoring, expansion identification, and retention strategies
● Provide ongoing AI tool training, troubleshooting, and optimization support to ensure teams maximize AI capabilities
Cross-Functional AI Strategy
● Serve as the AI subject matter expert, translating business requirements into AI solutions and measuring ROI of AI implementations
● Maintain competitive intelligence on AI tools and emerging technologies that could benefit GTM operations
● Establish AI performance metrics and continuously optimize AI models and workflows based on business outcomes
Required Experience:
● 5+ years in revenue operations, sales operations, or marketing operations with recent AI implementation experience
● Strong technical background with hands-on experience deploying AI tools in GTM environments
● Proven ability to translate business needs into technical requirements and manage vendor relationships
● Experience with data analysis, model performance evaluation, and change management for technology adoption