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50 минут назад

Project Manager (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
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
Project Manager (AI): Leading enterprise AI operating system implementations from kick-off to close with an accent on milestone planning, stakeholder alignment, and translating engineering delivery into executive business value. Focus on coordinating multi-workstream projects, building value measurement frameworks, managing SteerCo communication, and developing scalable delivery playbooks.

Location: On-site in San Francisco or New York, United States

Company

hirify.global builds and implements AI operating systems for enterprise clients.

What you will do

  • Own enterprise implementations from kick-off through close, including milestones, priorities, requirements, and delivery tracking.
  • Manage client and stakeholder relationships, including executive communication and SteerCo agendas.
  • Translate engineering output into executive briefs and business-case language for CFOs, investors, and enterprise clients.
  • Lead change management and build frameworks to measure implementation value.
  • Develop delivery processes and playbooks that improve the speed and consistency of future engagements.

Requirements

  • 2+ years of experience running complex, multi-workstream projects in consulting, operations, or technical implementation.
  • Demonstrated ability to keep projects on schedule without performing the technical work directly.
  • Credibility in client-facing settings, including communication with C-suite stakeholders.
  • Specific, practiced use of AI tools in workflows that improve output quality.
  • Curiosity about software development and the ability to learn technical concepts quickly.
  • Availability for on-site work in San Francisco or New York is required.

Culture & Benefits

  • Work closely with engineering teams and enterprise clients as the connection between technical delivery and business outcomes.
  • Build the delivery practice, including processes and playbooks, as it scales.
  • Role scope and leadership expectations are calibrated to experience.

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