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4 дня назад

Head of Operations Engineering (AI)

Формат работы
remote (только USA)/hybrid
Тип работы
fulltime
Грейд
head
Английский
b2
Страна
Australia
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
Head of Operations Engineering (AI): Building the pipelines, evaluation systems, monitoring, governance, and cost controls that operationalize AI features for a platform used by more than 70 million people with an accent on production reliability, model and prompt versioning, and internal AI adoption. Focus on driving build-vs-buy decisions, managing cost and latency, establishing data and vendor guardrails, and mentoring teams across Product, Engineering, Marketing, and Support.

Location: Melbourne or Sydney offices on a hybrid basis, or remote within Australia

Compensation: Fair and competitive package including cash, equity, and benefits

Company

hirify.global provides a digital presence platform used by more than 70 million people, creators, brands, and organizations to curate, grow, and monetize their online presence.

What you will do

  • Own the platform that supports AI features, including pipelines, model and prompt versioning, evaluations, monitoring, and cost controls.
  • Drive internal AI adoption through tooling, agent workflows, and enablement for Product, Engineering, Marketing, and Customer Support.
  • Establish proportionate governance for data handling, vendor risk, and pre-launch evaluation.
  • Partner with Data, Engineering, and Product leadership to prioritize AI investments against the roadmap and financial model.
  • Make pragmatic build-versus-buy decisions and mentor engineers and analysts working on AI products.

Requirements

  • 5–7 years of experience in ML/AI engineering, data platforms, or AI operations, including hands-on ownership of production systems.
  • Experience operating AI or ML systems in production, including pipelines, model and prompt versioning, evaluation, monitoring, and incident response.
  • Working fluency with modern LLM tooling and practical understanding of cost, latency, context limits, and non-deterministic outputs.
  • Experience driving internal AI adoption and changing how teams work.
  • Strong build-versus-buy judgment, pragmatic decision-making, and ability to establish data, vendor-risk, and evaluation guardrails.
  • Ability to work from Melbourne or Sydney offices on a hybrid basis, or remotely within Australia.

Culture & Benefits

  • Flexible choice between remote and hybrid work, with an async-friendly approach.
  • Autonomy in structuring workdays and weeks within a family-friendly, Zoom-casual culture.
  • Annual wellbeing allowance for fitness, development, childcare, travel, charitable donations, pet insurance, or home-office setup.
  • Retirement contribution, generous vacation and leave programs, and employee stock options.
  • Medical, dental, vision, disability, and life insurance coverage for US-based employees.

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