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Technical Program Manager (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR
Technical Program Manager (AI): Managing the delivery of high-quality data platforms for AI training and evaluation with an accent on integrated delivery plans, risk management, and stakeholder communication. Focus on building scalable delivery systems, automating operational workflows, and driving end-to-end delivery health for enterprise AI pipelines.

Location: San Francisco, California, United States

Company

hirify.global is a human data partner that creates real-world datasets and provides Label Studio and enterprise services for AI model development, data labeling, and evaluation.

What you will do

  • Translate customer outcomes into integrated delivery plans with milestones, dependencies, critical paths, DRIs, and definitions of done.
  • Own end-to-end delivery health by tracking status, surfacing risks, and driving blockers to resolution.
  • Run accountability cadences and maintain ownership and due dates for open items.
  • Build scalable delivery systems, including a single source of truth, action-item registers, risk registers, and playbooks.
  • Prepare customer updates and manage live and asynchronous reporting to maintain stakeholder confidence.
  • Identify automation opportunities and build AI-driven workflows while partnering with Product, Engineering, and Go-To-Market teams.

Requirements

  • 8+ years of experience in program management, technical program management, or delivery operations.
  • Experience managing complex, multi-stakeholder enterprise programs.
  • Ability to own and review delivery health KPIs, including on-time milestone rate, blocker aging, and schedule variance.
  • Strong judgment under pressure and the ability to make decisions with incomplete information.
  • Confident communication with senior engineers and executive customer stakeholders.

Nice to have

  • Experience with enterprise AI or ML deployments.
  • Familiarity with enterprise IT procurement and security processes.
  • Experience in startup operations, management consulting, or forward-deployed engineering.
  • Experience building lightweight operating systems for distributed teams.

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