Sales Enablement AI Architect

About the role

This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.

Job Description

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.

• Provide strategic direction for AI-powered sales enablement, including generative AI, agentic workflows, content intelligence, coaching automation, and responsible AI adoption across go-to-market teams.
• Define the architecture for AI-enabled seller experiences, including intelligent content discovery, guided selling, role-based learning paths, sales playbooks, coaching agents, and workflow automation.
• Evaluate, design, and integrate AI solutions across the sales technology stack, including enablement platforms, CRM, learning systems, content management systems, conversation intelligence tools, and collaboration platforms.
• Create governance models for AI-generated enablement content, including source attribution, approval workflows, lifecycle management, brand consistency, compliance, and responsible AI controls.
• Develop governance models for enablement content, including accuracy, version control, approval processes, permissions, branding, localization, compliance, and lifecycle management.
• Build prototypes, proofs of concept, and scalable implementation patterns for AI agents, prompt libraries, knowledge retrieval, workflow orchestration, and enablement analytics.
• Collaborate with platform owners and administrators to improve the seller experience across systems such as Seismic, Highspot, Intellum, LMS platforms, CRM, Microsoft 365, and other enablement or productivity tools.
• Mentor enablement, operations, and platform teams on AI literacy, prompt design, use-case prioritization, experimentation practices, and responsible adoption.

Required Qualifications

• 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.
• 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.
• Ability to partner effectively with Sales, Sales Engineering, Product Marketing, Revenue Operations, Channel, IT, Security, Data, Legal, and AI governance teams.

Preferred Qualifications

• Experience designing pilots, proofs of concept, change management plans, adoption campaigns, and feedback loops for new tools or enablement capabilities.
• Experience with enterprise AI governance, permission-aware knowledge retrieval, AI risk management, AI-powered coaching, guided selling, content recommendation, APIs, data integrations, analytics dashboards, workflow automation, or low-code/no-code AI development tools.
• Comfort operating in ambiguous environments, identifying high-value opportunities, prioritizing use cases, and iterating quickly based on seller feedback and measurable outcomes.

What We Can Offer You

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

Information about employee benefits offered

• United States of America: Annual Salary USD 111,000 - 211,000 in Colorado // 120,000 - 243,000 in California // 105,500 - 243,000 in Georgia & North Carolina & Texas & Virginia
• Canada: Annual Salary CAD 131,000 - 181,000 in Ontario

Recruitment Fraud Alert

We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money.