WorkSpan

Compensation

Full Description

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