Sales Enablement AI Architect

Role Overview

As a Sales Enablement AI Architect, you will design and scale AI-powered enablement experiences that help sellers, sales engineers, partners, and the enablement team learn faster, sell smarter, and execute with greater consistency. This role sits at the intersection of sales enablement strategy, generative AI, platform architecture, content intelligence, coaching, analytics, and change management.

What You Will Do

Provide strategic direction for AI-powered sales enablement, define the architecture for AI-enabled seller experiences, design agentic AI and retrieval-augmented generation solutions, evaluate and integrate AI solutions across the sales technology stack, and develop governance models for AI-generated enablement content.

Why It Might Be a Fit

The Sales Enablement AI Architect will partner across a matrixed environment to move from experimentation to secure, measurable, scalable AI adoption that improves ramp time, seller productivity, content effectiveness, and revenue execution.

Requirements

• 5+ years of experience in solution architecture, AI strategy, AI execution, sales enablement, revenue enablement, sales operations, product marketing, learning technology, or a related go-to-market transformation role
• Hands-on experience designing or implementing AI-powered workflows, generative AI use cases, intelligent assistants, automation, or data-driven enablement solutions
• Familiarity with generative AI concepts, including prompt engineering, retrieval-augmented generation, AI agents, workflow orchestration, model evaluation, responsible AI, and human-in-the-loop review
• Understanding of sales enablement disciplines, including onboarding, everboarding, sales methodology, coaching, content strategy, playbooks, partner enablement, field readiness, and seller productivity
• Experience working with enablement and go-to-market platforms such as Seismic, Highspot, Mindtickle, Salesforce, Microsoft 365, Teams, LMS platforms, content management systems, or conversation intelligence tools
• Ability to translate seller, leader, and stakeholder needs into practical AI use cases, business requirements, solution designs, adoption plans, and measurable success criteria
• Experience building governance models for enablement content, including accuracy, version control, approval processes, permissions, branding, localization, compliance, and lifecycle management
• Strong analytical mindset with the ability to define and track metrics such as ramp time, content engagement, learning completion, seller adoption, productivity gains, pipeline impact, win-rate influence, and program ROI
• Strong facilitation and communication skills, with the ability to lead workshops, influence senior stakeholders, explain technical concepts clearly, and align cross-functional teams around a shared roadmap

Benefits

• Health & Wellbeing
• Personal & Professional Development
• Unconditional Inclusion & Belonging