Chris McKrill

About Chris McKrill

I build Solutions Engineering organizations that turn complex AI products into enterprise revenue engines.Most recently at Salesforce, I founded and scaled the company\'s first proactive SE team for agent-based AI products — building from zero to the #1 operating unit for agent consumption. The engagement model I created was adopted globally across the company.Before that, I led a team of 12 Technical Architects specializing in AI, data, and security. We embedded into high-stakes deal cycles and drove 3x ACV growth (from $5.3M to $15.9M) by running competitive evaluations, building POC programs, and positioning platform value against DIY alternatives. Over my Salesforce tenure, I\'ve directly influenced $20M+ in closed revenue.What I\'ve built my career around:→ Building SE functions from scratch — hiring, career paths, comp models, enablement programs, and the repeatable engagement motions that make them scale.→ Deep hands-on fluency with the modern AI stack: LLMs, RAG architectures, vector databases, agentic frameworks, and consumption-based deployment models.→ A revenue-engineering mindset. I don\'t just support deals — I design the technical GTM motions that compress sales cycles, reduce time-to-value, and convert POCs into production deployments.→ Serving as the bridge between Product, Engineering, and the Field — translating deployment realities into roadmap priorities and giving customers a technical partner, not just a seller.I\'m passionate about the intersection of AI products and enterprise distribution — and always open to conversations with people building in this s••••••••@gmail.com

Experience

1. Director - Agentforce Solutions

   Salesforce

   Jul 2025 — Present

   Founded and scaled Salesforce\'s first proactive Solutions Engineering team dedicated to driving enterprise adoption of agent-based AI products. Built the function from zero — defining team structure, hiring, engagement motions, and consumption metrics.Key outcomes- Led organization to #1 ranking for consistent agent consumption across all operating unitsCreated the \"Proactive Agent Consumption Model\" — a repeatable SE engagement framework now adopted globally across Salesforce- Serve as primary technical feedback loop to Product Engineering, translating field deployment patterns into roadmap requirements- Provide expert advisory on complex agent builds spanning LLM orchestration, RAG pipelines, and data readiness for enterprise partners and customers

Education

• Colorado Christian University

  B.S, Business Management; Marketing

  2006 — 2009

Skills

• Crm
• Leadership
• Customer Relationship Management (Crm)
• Product Management
• Integration
• Team Leadership
• Time Management
• Management
• Project Planning
• Microsoft Excel
• Data Analysis
• Process Improvement
• Project Management
• Business Analysis
• Microsoft Office
• Sales
• Salesforce.com
• Marketing
• Strategic Planning
• Training
• Cross-Functional Team Leadership