Sales Enablement AI Architech

Hewlett Packard Enterprise•Durham, NC

5d•$105,500 - $243,000•Hybrid

About The Position

This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office. Who We Are: Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. 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. 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.
Ability to partner effectively with Sales, Sales Engineering, Product Marketing, Revenue Operations, Channel, IT, Security, Data, Legal, and AI governance teams.

Nice To Haves

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.
Knowledge and Skills: Experience with Agentic AI
Experience building AI Agents
Superior business and financial planning acumen.
Superior leadership, communication, change management, and project management skills.
Excellent relationship management skills, including strong competency in vendor management and cultural awareness.
Demonstrated mastery in developing and implementing comprehensive development plans.

Responsibilities

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.
Design agentic AI and retrieval-augmented generation solutions that support opportunity preparation, account research, objection handling, competitive positioning, call planning, follow-up generation, and trusted content discovery.
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.
Develop governance models for AI-generated enablement content, including source attribution, approval workflows, lifecycle management, brand consistency, compliance, and responsible AI controls.
Create AI adoption strategies, pilots, and roadmaps that prioritize measurable outcomes such as ramp time, seller productivity, content usage, learning completion, pipeline velocity, and stakeholder satisfaction.
Define evaluation frameworks and feedback loops to measure answer quality, content accuracy, seller adoption, workflow completion, time saved, coaching effectiveness, and business impact.
Lead workshops, discovery sessions, architecture reviews, and executive presentations that explain AI capabilities, tradeoffs, risks, and adoption plans to technical and non-technical audiences.
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.