Effectively communicate complex storage system features and architectures in detail Drive the team's goals and technical direction to pursue opportunities that improve storage performance, reliability, and efficiency at scale Design and optimize storage systems to meet the demanding throughput and latency requirements of AI training workloads Lead efforts to improve storage system performance for both serving and AI/ML training use cases Partner & collaborate with organization leaders to help improve the level of performance of the team & organization Identify new opportunities for storage innovation and influence the appropriate people for staffing/prioritizing these new ideas Lead long term technical strategy and roadmap for storage infrastructure across the company Suggest, collect and synthesize requirements and create an effective feature roadmap for storage systemsBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience Experience leading storage infrastructure projects with industry-wide impact Vast experience communicating and working across functions to drive storage solutions Significant experience in mentoring/influencing engineers across organizations Proven track record of planning multi-year roadmap in which shorter-term projects ladder to the long term mission Experience in driving large cross-functional/industry-wide storage engineering efforts 8+ years coding experience in C, C++, Java and/or C# 8+ years of experience building distributed storage systems or server applications Experience and familiarity with transport protocols Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Experience with server overload protection mechanisms Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Ability to debug gnarly performance issues in networking and kernel Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Experience with operating system internals, filesystems, programming language design, compilersMeta builds technologies that help people connect, find communities, and grow businesses. We are looking for candidates who share a proven commitment to tackling complexity in storage systems and building platforms that can scale through multiple orders of magnitude while meeting the unique performance characteristics required for AI infrastructure.