AI-Driven Sales Enablement Architect

Hewlett Packard Enterprise

Augusta (GA)

Hybrid

USD 106,000 - 243,000

Full time

2 days ago

Be an early applicant

Get more replies from employers

Send a job-specific resume in minutes.

Benefits offered by this job

Health & wellbeing benefits

Career development programs

Inclusive culture

Flexible work policy

Job summary

Hewlett Packard Enterprise is seeking a Sales Enablement AI Architect to design and scale AI-powered enablement experiences for sellers, sales engineers, partners, and the enablement team. You will drive AI adoption, governance, and measurable outcomes across GTM functions, partnering with Seismic, Highspot, Salesforce, and other platforms.

The role emphasizes architecture, content intelligence, coaching automation, and change management to提升 ramp time and productivity.

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.
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.

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.