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4 дня назад

Senior AI Product Manager

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Singapore/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
Senior AI Product Manager (AI infrastructure): Defining and delivering the product roadmap for AI infrastructure capabilities, including GPU orchestration, benchmarking, model serving, optimization, and agentic applications with an accent on cross-team delivery planning, release readiness, and measurable technical outcomes. Focus on decomposing complex initiatives into sprint-ready work, managing dependencies across engineering and infrastructure teams, and validating performance, reliability, security, and operational readiness.

Location: Singapore

Company

hirify.global Technologies designs, builds, and operates energy-efficient AI infrastructure and the hirify.global AI Cloud platform across Asia Pacific.

What you will do

  • Translate strategic priorities into a prioritized AI product portfolio, quarterly roadmap, release plan, and sprint-level delivery plan.
  • Define product requirements, user outcomes, acceptance criteria, non-functional requirements, and success measures for new capabilities.
  • Coordinate delivery across AI, application, inference, optimization, DevOps, scheduler, platform, infrastructure, and cybersecurity teams.
  • Manage dependencies, risks, milestones, release gates, validation activities, documentation, rollback planning, and production approvals.
  • Lead roadmap, sprint, release-readiness, dependency, risk, and post-release reviews while reporting delivery health and decisions to the Head of AI & Applications.
  • Coordinate capabilities covering model-to-grid benchmarking, Kubernetes and GPU scheduling, training and inference recipes, model serving, RAG, telemetry, and agentic applications.

Requirements

  • 5+ years of experience in product management, technical program management, delivery management, release management, solutions architecture, engineering management, or a comparable technical leadership role.
  • Experience managing complex, multi-team technical product roadmaps across software, platforms, infrastructure, operations, and security.
  • Strong experience with agile delivery, backlog management, epic decomposition, sprint planning, estimation, reviews, retrospectives, and release planning.
  • Technical understanding of AI/ML platforms, training, fine-tuning, inference, model serving, benchmarking, performance optimization, data pipelines, RAG, and agentic workflows.
  • Familiarity with GPU infrastructure, Kubernetes, Slurm or comparable workload schedulers, distributed training, multi-tenant resource management, and AI inference systems.
  • Strong analytical, communication, documentation, and stakeholder-management skills.

Culture & Benefits

  • Permanent full-time employment.
  • Founder-led environment with fast decision-making, accessible leadership, and limited bureaucracy.
  • Opportunity to work with founders and experts in AI infrastructure, energy systems, and next-generation compute.
  • Exposure to sustainable AI infrastructure and large-scale energy-efficient computing.

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