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10 дней назад

Chief Technology Officer (AI)

Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
c_level
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
Chief Technology Officer (AI): Driving Toptal’s product and engineering strategy by building an AI-first technical architecture, deploying agentic workflows, and leading a distributed engineering organization with an accent on foundation models, evaluation, platform reliability, and measurable business outcomes. Focus on designing shared AI primitives, scaling agents across core business processes, modernizing distributed systems, and building high-performing teams.

Location: Remote, United States

Company

hirify.global is a global network of business, design, and technology talent that helps companies scale teams on demand.

What you will do

  • Set the technical direction for hirify.global’s products, engineering organization, and AI-first architecture.
  • Build shared AI primitives covering model selection, fine-tuning, orchestration, retrieval, context engineering, tool integration, guardrails, evaluation, and cost control.
  • Deploy agentic systems across matching, vetting, onboarding, delivery, and internal operations, with measurable business outcomes.
  • Own end-to-end platform architecture, throughput, reliability, security, technical debt, and AI infrastructure costs.
  • Lead workforce planning, hiring, team standards, performance development, and executive-level technical strategy.
  • Modernize the existing platform while maintaining business continuity and improving engineering productivity through AI-assisted development.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related technical field; an advanced degree is strongly preferred.
  • 15+ years of progressive engineering leadership, including significant experience as a CTO, VP of Engineering, or direct report to one at meaningful scale.
  • Hands-on production experience with foundation models, agentic architectures, harness design, retrieval, context engineering, fine-tuning, and evaluation.
  • Experience deploying agentic systems at scale with measured effects on cost, cycle time, quality, or revenue.
  • Strong command of distributed systems, service architecture, data-intensive applications, cloud infrastructure, platform economics, and large-scale codebase modernization.
  • Experience leading a globally distributed remote team and a proven record of hiring, developing, and holding high standards for technical talent.

Culture & Benefits

  • Remote position with virtual collaboration across a globally distributed organization.
  • High-ownership environment focused on speed, execution, measurable outcomes, and technical quality.
  • Direct working relationship with the CEO and broad ownership of product, engineering, and AI strategy.
  • Full-time, exempt position under the US FLSA classification.
  • English is required for resumes and professional communication.

Hiring process

  • Initial focus includes learning the platform architecture, meeting leaders across Engineering, Product, Industries, and Services, and establishing a working rhythm with the CEO.
  • Early evaluation covers engineering and AI maturity, organizational standards, resourcing, and the candidate’s proposed technical strategy.

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