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2 дня назад

Director, AI Strategy

240 000 - 450 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
director
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
Director, AI Strategy (AI/ML): Owns the AI strategy roadmap, identifies high-impact use cases, and leads the integration of AI capabilities with an accent on model selection, LLMs, vector databases, governance, and measurable business outcomes. Focus on translating emerging AI capabilities into production value, aligning cross-functional leaders, and building organizational readiness for rapid technological change.

Location: United States, remote

Typical total compensation: $240,000–$450,000 annually.

Company

hirify.global is a specialist executive search firm focused on leaders who help organizations navigate AI transformation.

What you will do

  • Own the AI strategy roadmap, define competitive advantage opportunities, set investment priorities, and communicate the vision to boards and leadership teams.
  • Partner with engineering, product, and business leaders to identify and scope AI use cases, including AI-augmented customer experiences, operational automation, and data monetization.
  • Lead AI capability builds and integrations, overseeing model selection, vendor evaluation, build-versus-buy decisions, and technical architecture with engineering partners.
  • Establish cross-functional governance, data and infrastructure requirements, ethical AI practices, and risk-management frameworks.
  • Measure portfolio performance against business KPIs, refine initiatives based on results, and allocate resources to high-ROI opportunities.
  • Represent AI strategy externally while shaping talent and culture through hiring, retention, learning programs, and experimentation.

Requirements

  • 8+ years in AI, machine learning, data science, or closely related technical leadership roles.
  • Hands-on experience building, shipping, or scaling AI/ML systems; pure management or consulting experience is insufficient.
  • Proven ability to translate AI/ML capabilities into measurable financial or operational outcomes from conception through production.
  • Fluency in current AI/ML tools and techniques, including model architectures, LLMs, vector databases, and deployment patterns.
  • Experience leading cross-functional teams and influencing product, engineering, finance, and executive stakeholders without direct authority.
  • Ability to explain complex technical concepts to boards, business leaders, and customers, with comfort navigating ambiguity and rapid change.

Culture & Benefits

  • Future-opportunity posting: applications are added to the candidate network for relevant roles that may open later.
  • Work remotely within the United States.
  • Focus on AI transformation, experimentation, measured risk-taking, and continuous learning.

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