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Sales Enablement AI Architect (AI)

111 000 - 243 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Sales Enablement AI Architect (Generative AI and Sales Enablement): Designing and scaling AI-powered enablement experiences, agentic workflows, retrieval-augmented generation solutions, and intelligent seller experiences with an accent on content intelligence, coaching automation, governance, and measurable adoption. Focus on building AI agents and prototypes, integrating CRM and enablement platforms, defining evaluation frameworks, and driving secure, scalable AI adoption across go-to-market teams.

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

hirify.global 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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