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8 дней назад

GTM Generalist (AI)

Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
GTM Generalist (AI): Bringing an AI platform for self-improving enterprise agents to market through customer conversations, positioning, sales execution, and deployment lifecycles with an accent on translating technical capabilities into clear customer value. Focus on running practical GTM experiments, building customer feedback loops and stories, supporting enterprise sales, and identifying partnership opportunities.

Location: San Francisco, United States; on-site

Company

hirify.global is an applied AI lab building an AI platform that powers self-improving agents for business enterprises, including memory, runtime, integrations, product experience, reliability, and governance.

What you will do

  • Talk with prospective and existing customers to understand their needs and workflows.
  • Develop messaging, use cases, and materials that explain the platform's customer value.
  • Support sales from initial discovery through evaluation and close.
  • Run practical go-to-market experiments and learn from the results.
  • Build customer stories and feedback loops that inform product and go-to-market strategy.
  • Identify promising partnership and ecosystem opportunities.

Requirements

  • Experience taking a B2B technology product to market, or a strong record of learning quickly in a customer-facing role.
  • Clear, compelling writing and strong communication with both technical and business audiences.
  • Comfort working across strategy and hands-on execution.
  • Good judgment, curiosity, and a bias toward testing ideas with customers.

Nice to have

  • Experience in enterprise AI, SaaS, sales, product marketing, or business development.

Culture & Benefits

  • On-site work in San Francisco.
  • Hands-on work across customer conversations, sales, product, and go-to-market strategy.
  • Direct exposure to applied AI, self-improving agents, and enterprise deployment challenges.

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