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7 дней назад

Sales Executive (AI & Data Services)

Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
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 Executive (AI & Data Services): Selling enterprise AI, data, cloud, and managed services solutions across new-logo acquisition, account expansion, and partner co-selling with an accent on Production AI, Database Managed Services, and complex enterprise sales cycles. Focus on building territory plans, coordinating cross-functional deal execution, and engaging executive buyers and hyperscaler partners.

Location: Ohio/Michigan, United States; remote from home with travel as required for client meetings, partner events, industry conferences, and the annual sales kickoff.

Company

hirify.global delivers strategic database, analytics, cloud, managed services, and AI solutions for mid-sized and large enterprises, partnering with Google Cloud, AWS, Microsoft, Oracle, SAP, and Snowflake.

What you will do

  • Build and execute territory plans covering new-logo acquisition, inbound lead conversion, account expansion, and targeted enterprise verticals.
  • Manage and forecast the Salesforce pipeline, conduct weekly pipeline reviews, and provide revenue projections.
  • Lead discovery and solution conversations for Production AI, AI Strategy, Agentic AI, AI Automation, database managed services, cloud data platforms, and data migrations.
  • Co-sell with Google Cloud, Oracle, and other hyperscaler or OEM field teams, including partner programs, deal registration, funded assessments, and marketplace motions.
  • Lead enterprise sales cycles from discovery and business-case development through proposals, negotiations, and closing.
  • Coordinate Solutions Architecture, Delivery, Legal, Finance, Field CTO, and practice resources while preparing proposals, RFP responses, and executive-level materials.

Requirements

  • 6+ years of enterprise technology sales experience with a consistent record of meeting or exceeding quota.
  • Active experience selling Data & AI services to enterprise buyers, including managed databases, cloud data platforms, AI strategy, or production AI implementations.
  • Demonstrated managed-services sales experience, including business-case development and procurement for recurring-revenue engagements.
  • Experience co-selling with hyperscaler or OEM field teams such as Google Cloud, Oracle, AWS, or Microsoft, including partner programs, deal registration, and funded motions.
  • Ability to orchestrate solutions architects, delivery leads, legal, and finance across complex, multi-stakeholder sales cycles.
  • Ability to acquire new logos and grow and retain existing accounts.
  • Ability to engage confidently with VP- and C-suite-level business and technical audiences.
  • Proficiency in Salesforce for pipeline management, forecasting, and account planning.
  • Strategic territory planning, consultative selling, influence, persuasion, consensus-building, clear communication, presentation, and proposal skills.
  • Relevant Bachelor’s degree or an equivalent combination of experience and education.

Nice to have

  • Experience selling within Google Cloud, including BigQuery, Vertex AI, or Gemini, and/or Oracle ecosystems; AWS, Microsoft Azure, Snowflake, Databricks, and SAP experience is also preferred.
  • Familiarity with modern data stacks and cloud data platforms across multiple hyperscalers.
  • Experience positioning Agentic AI, GenAI/RAG, MLOps, or AI automation solutions.
  • Experience with Database Managed Services or Infrastructure Managed Services sales cycles and pricing models.
  • Experience selling to companies with $300M–$1B in revenue in manufacturing, retail, logistics, finance, or healthcare.
  • Relevant cloud, database, or AI certifications.

Culture & Benefits

  • Flexible remote work from home with no daily office travel requirement and a stable internet connection.
  • Competitive total rewards package, paid vacation and sick days, and a volunteer day.
  • Training allowance, professional development days, training opportunities, and certification support.
  • Home-office equipment, choice of laptop operating system, and an annual workspace budget.
  • Annual wellness budget and collaboration with experienced industry professionals.

Hiring process

  • Applicants must fulfill the requirements for a background check.
  • Accommodations are available upon request during the selection process.

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