Sales Enablement AI Architect (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Location: Hybrid, with an average of 2 days per week from an HPE office. Salary locations include the United States and Canada.
Salary: Base salary of USD 111,000–211,000 in Colorado, USD 120,000–243,000 in California, and USD 105,500–243,000 in Georgia, North Carolina, Texas, and Virginia. Canada salary: CAD 131,000–181,000 in Ontario. Variable incentives may also be offered.
Company
is a global edge-to-cloud technology company helping organizations connect, protect, analyze, and act on data and applications.
What you will do
- Define the strategy and architecture for AI-powered sales enablement, including generative AI, agentic workflows, content intelligence, coaching automation, and responsible AI adoption.
- Design retrieval-augmented generation solutions and AI agents for opportunity preparation, account research, objection handling, competitive positioning, call planning, follow-up generation, and content discovery.
- Integrate AI capabilities across enablement platforms, CRM, learning systems, content management systems, conversation intelligence tools, and collaboration platforms.
- Develop governance models for AI-generated content covering attribution, approvals, permissions, compliance, branding, localization, and lifecycle management.
- Create pilots, prototypes, adoption roadmaps, evaluation frameworks, and feedback loops tied to ramp time, seller productivity, content usage, learning completion, pipeline velocity, and business impact.
- Lead workshops, architecture reviews, executive presentations, and cross-functional collaboration while mentoring teams on AI literacy, prompt design, experimentation, and responsible adoption.
Requirements
- 5+ years of experience in solution architecture, AI strategy or execution, sales enablement, sales operations, product marketing, learning technology, or related go-to-market transformation.
- Hands-on experience designing or implementing AI-powered workflows, generative AI use cases, intelligent assistants, automation, or data-driven enablement solutions.
- Knowledge of prompt engineering, retrieval-augmented generation, AI agents, workflow orchestration, model evaluation, responsible AI, and human-in-the-loop review.
- Experience with sales 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 define governance models, metrics, business requirements, solution designs, adoption plans, and measurable success criteria for AI-enabled enablement.
- Strong facilitation, communication, analytical, leadership, change management, project management, relationship management, and vendor management skills.
Nice to have
- Experience designing pilots, proofs of concept, change management plans, adoption campaigns, and feedback loops.
- Experience with enterprise AI governance, permission-aware knowledge retrieval, AI risk management, AI-powered coaching, guided selling, APIs, data integrations, analytics dashboards, and workflow automation.
- Experience with low-code/no-code AI development tools and comfort operating in ambiguous environments.
Culture & Benefits
- Health and wellbeing benefits supporting physical, financial, and emotional wellbeing.
- Personal and professional development programs supporting career growth and internal mobility.
- Flexible work practices supporting work and personal needs.
- Inclusive workplace focused on varied backgrounds, belonging, collaboration, and responsible innovation.
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