Crusoe4 дня назад

Principal Product Manager, AI Infrastructure (Storage)

23 750–27 917 ₽в месяц · до вычета

РЫНОК

15 167 ₽медиана по профессии

Cloud Engineer · 31 вакансий с указанной зарплатой

5 233половина предложений: 11 320–15 56261 617

Выше рынка · выше 90% предложений

Полная занятостьОфис

Обязанности

01Define the 2-4 year vision and roadmap for Crusoe's storage foundation, across block, file, object, local NVMe, and archival tiers
02Own the long-term storage architecture and hierarchy
03Own Crusoe's long-term vendor management strategy for the storage stack, and shapes our cost structure, capital allocation, and competitive position
04Set the performance and durability targets the platform must hit, including storage cost per usable TB and capacity efficiency
05Own the future architecture required to support significantly larger AI clusters and fleet scale
06Identify structural limitations in the current architecture and prioritize the long-term investments that resolve them
07Partner with Infrastructure Engineering and Architecture on major technical tradeoffs, and define the product requirements and business rationale behind foundational investments
08Actively scout the industry for emerging storage technologies and vendors, and represent storage foundations in leadership reviews

01Bachelor's degree in electrical engineering, computer science, or a related field
028+ years of technical product management experience, or product-minded infrastructure engineering experience, with a track record of owning architecture-level outcomes at Principal or equivalent scope, specifically focused on cloud storage or related infrastructure
03Subject matter expertise in storage, with the credibility to operate as a peer to senior infrastructure engineers and architects
04Strong technical understanding of cloud storage architectures, including block, file, and object storage, at hyperscale
05Experience managing long-term vendor strategy and vetting in-house software engineering investment for storage hardware and software
06A strong grasp of infrastructure economics at scale, including cost per usable TB and capacity efficiency
07Analytical mindset with the ability to use data to inform multi-year infrastructure decisions
08Exceptional communication skills, with the ability to translate technical tradeoffs into clear narratives for engineering leadership and executives