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Technical Project Manager (AI Platform)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Singapore/Malaysia
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Technical Project Manager (AI Platform): Driving delivery of an AI platform spanning Model-as-a-Service, Managed Kubernetes, and shared infrastructure, security, and billing services with an accent on roadmap execution, dependency tracking, and release coordination. Focus on translating architectural milestones into sprint-sized plans, maintaining accurate Jira backlogs, resolving cross-team blockers, and producing decision-ready delivery reports.

Location: Singapore or Penang, Malaysia

Company

hirify.global is a technology company providing Bitcoin mining solutions, ASIC hardware, datacenter infrastructure, and AI cloud capabilities.

What you will do

  • Translate the AI platform roadmap across Model-as-a-Service and Managed Kubernetes into phased delivery timelines and sprint-sized increments.
  • Maintain Jira epics, stories, tasks, dependencies, estimates, assignments, labels, and workflow states across engineering workstreams.
  • Track dependencies across model integration, Kubernetes, infrastructure, security, billing, identity, performance, and documentation workstreams.
  • Prepare status reports and dashboards, support standups and sprint reviews, and communicate delivery risks and decisions to technical and non-technical stakeholders.
  • Improve planning, ticketing, workflow automation, reporting templates, and definitions of done.
  • Coordinate release readiness with QA and release engineering, including security, performance, and documentation sign-offs.

Requirements

  • 4+ years of experience as a technical project manager or program manager in software or infrastructure engineering organizations.
  • 1–2 years supporting AI/ML, cloud, or developer-platform teams.
  • Hands-on experience with Jira or an equivalent project management tool, plus Confluence or similar documentation tools.
  • Understanding of model serving, Kubernetes-based infrastructure, API release cycles, CI/CD pipelines, QA gates, and security or compliance reviews.
  • Experience coordinating delivery across five or more functional teams and resolving cross-team blockers.
  • Experience with Agile or Kanban practices, including standups, sprint reviews, and retrospectives for engineering teams of 8–15 people.

Culture & Benefits

  • Inclusive environment that values authenticity and diverse perspectives.
  • Startup-oriented environment within a fast-growing technology company.
  • Opportunity to contribute to digital asset and AI cloud projects.
  • Autonomy, personal accountability, and opportunities for learning and career growth.
  • Training, mentoring, welfare benefits, and developmental opportunities.

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