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5 дней назад

Technical Head of Enginering (AI)

243 900 - 318 425$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
head
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
Technical Head of Enginering (AI): Leading the Agent Platform team in building reusable systems for reliable, secure, and scalable AI agents across Atlassian products with an accent on applied ML, agent workflows, platform engineering, and production-quality AI experiences. Focus on guiding architecture, evaluation, observability, security, and operational readiness while developing engineers and writing production code.

Location: Remote; hiring is available in any country where hirify.global has a legal entity. Listed locations include San Francisco, Seattle, and New York, United States.

Base salary in the United States: Zone A $243,900–$318,425; Zone B $219,510–$286,583; Zone C $202,437–$264,293 per year.

Company

hirify.global develops software products that help teams collaborate and manage different types of work.

What you will do

  • Lead the Agent Platform team building reusable capabilities for reliable, secure, and scalable AI agents.
  • Set technical and execution direction with product, engineering, ML, data, and platform stakeholders.
  • Lead, coach, hire, and develop engineers while managing performance, career growth, and team health.
  • Write production code and guide architecture across applied ML systems, agent workflows, context retrieval, evaluation, and quality measurement.
  • Establish planning, prioritization, risk management, decision-making, and cross-team communication practices.
  • Align roadmaps and dependencies with Rovo, Jira agent workflows, and other hirify.global product and platform teams.

Requirements

  • Deep technical experience across applied ML, agentic systems, platform engineering, and production AI experiences.
  • Ability to operate as a hands-on technical leader or people manager and write production code.
  • Strong understanding of architecture, evaluation, reliability, observability, security, privacy, cost efficiency, and production operations.
  • Experience building and leading high-performing engineering teams in ambiguous, fast-moving environments.
  • Ability to translate broad AI strategy into practical platform capabilities adopted across products.

Culture & Benefits

  • Flexible remote, office, or combined work arrangements.
  • Health and wellbeing resources.
  • Paid volunteer days and community support programs.
  • Potential eligibility for benefits, bonuses, commissions, and equity.
  • Inclusive, high-accountability environment focused on quality, trust, and professional growth.

Hiring process

  • Reasonable accommodations or adjustments are available during any stage of recruitment.
  • Identity verification may be required as a condition of employment.

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