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8 дней назад

Enterprise Account Executive - NY (AI/Data Infrastructure)

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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TL;DR
Enterprise Account Executive - NY (AI/Data Infrastructure): Building and closing complex enterprise business for AI, data infrastructure, storage, and analytics platforms across the New York territory with an accent on technical validation, quantified value selling, and executive alignment. Focus on creating new-logo opportunities, displacing incumbent infrastructure vendors, controlling POCs and POVs, and navigating complex multi-stakeholder negotiations.

Location: Remote, US - NY

Company

hirify.global provides AI and analytics data infrastructure through AIStor and MemKV, supporting data storage, memory, tables, and objects across core, edge, and cloud environments.

What you will do

  • Own the New York territory and the full enterprise sales cycle, from account prioritization and outreach through negotiation and close.
  • Build new enterprise accounts and expansion opportunities across workloads, business units, and regions.
  • Lead technical and vision selling across storage, data infrastructure, lakehouse, AI/ML, analytics, and HPC environments.
  • Control proofs of concept and proofs of value, define success criteria, and build quantified business cases.
  • Develop executive relationships, champions, and multi-stakeholder buying committees while competing against incumbent vendors and cloud alternatives.
  • Coordinate Solutions Engineering, product, executive, and partner resources through close and expansion, maintaining account plans, CRM data, and evidence-based forecasts.

Requirements

  • Seven or more years of direct enterprise quota-carrying experience preferred, with a sustained record of quota attainment and personally led new-logo wins.
  • Experience closing multiple technical enterprise deals and carrying a $1.5M+ quota or comparable responsibility.
  • Direct object-storage and S3 ecosystem experience.
  • Experience with AI/ML, lakehouse, analytics, HPC, data infrastructure, or adjacent platforms.
  • Demonstrated ability in technical validation, value selling, competitive displacement, executive access, complex negotiation, and disciplined forecasting.
  • Experience co-selling with cloud, channel, OEM, or alliance partners and displacing legacy storage or infrastructure vendors.

Culture & Benefits

  • Medical, dental, and vision healthcare plans.
  • 401(k) with a 3% contribution.
  • Pre-IPO stock options.
  • At least 12 public holidays.
  • Flexible time off.

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