4 дня назад
Senior AI Product Manager
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
Technologies designs, builds, and operates energy-efficient AI infrastructure and the 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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