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9 дней назад

Director - Product Technology

Формат работы
onsite
Тип работы
fulltime
Грейд
director
Английский
b2
Страна
UAE
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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TL;DR
Director - Product Technology (AI): Leading the technical evolution and productization of a shared agentic-AI platform for enterprise and government customers with an accent on distributed architecture, secure deployment, and product-engineering execution. Focus on evolving agent runtimes, orchestration, APIs, identity, multi-tenancy, observability, reliability, and AI economics across sovereign, hybrid, and customer-controlled environments.

Location: Abu Dhabi, United Arab Emirates

Company

hirify.global develops AI-powered domain-specific and industry-agnostic products, with Inception42 serving as an applied AI intelligence layer within the hirify.global ecosystem.

What you will do

  • Set the technical direction and execution roadmap for a shared agentic-AI platform.
  • Evolve architecture across agent runtime, orchestration, tool execution, governance, APIs, identity, multi-tenancy, security, and sovereign deployment.
  • Turn models, agents, and prototypes into evaluated, usable, secure, observable, and supportable platform capabilities.
  • Lead enterprise integration and interoperability with strategic technology ecosystems, including Microsoft.
  • Establish engineering practices for development, release, production operations, automated evaluation, observability, rollback, and operational ownership.
  • Improve reliability, scalability, performance, security, and AI economics across enterprise, sovereign, hybrid, and customer-controlled deployments.

Requirements

  • Senior product-engineering leadership experience building complex enterprise platforms, developer products, or multi-tenant SaaS.
  • Hands-on credibility in architecture, system design, design or code review, and complex production diagnosis.
  • Deep understanding of distributed systems, APIs, identity, security, multi-tenancy, reliability, observability, and production operations.
  • Experience shipping AI-powered products, including practical knowledge of agents, RAG, evaluation, grounding, safety, latency, and cost.
  • Experience guiding products from discovery and prototypes through launch, production operation, iteration, and scale.
  • Ability to lead across organizational boundaries and communicate clearly with engineers, researchers, executives, customers, and strategic partners.

Nice to have

  • Experience with agent platforms, copilots, workflow systems, developer platforms, or API ecosystems.
  • Exposure to sovereign, regulated, government, hybrid, or on-premises deployment environments.
  • Experience with AI evaluation, model observability, inference optimization, capacity planning, FinOps, or cost governance.
  • Experience leading product engineering across multiple locations.

Culture & Benefits

  • Open, diverse, and inclusive environment with a global vision.
  • Structured training, learning, development, and growth opportunities.
  • High-tech projects focused on applied AI innovation.
  • Competitive remuneration package with healthcare, education support, leave benefits, and additional perks.

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