Senior Sales Manager, AI Datacenter, Cloud & HPC at WesternDigital

ESSENTIAL DUTIES AND RESPONSIBILITIES This role is core to Western Digital’s AI Datacenter growth strategy, sitting at the intersection of AI infrastructure build‑outs, cloud platforms, High Performance Computing (HPC), and data‑intensive enterprise environments. The Senior Sales Manager, AI Datacenter, Cloud & HPC is a quota‑carrying individual contributor responsible for translating strategic platform wins and AI datacenter pursuits into scalable, repeatable revenue across the U.S. channel ecosystem. This role is designed for a seller who already operates at the level of: • Architecture‑driven solution selling • Cloud and AI infrastructure GTM • Multi‑party, ecosystem‑led dealsIt requires comfort selling alongside Business Development, technical leaders, SIs, OEMs, and cloud partners, while maintaining rigorous ownership of forecasting, pipeline, and close execution. Organizational Alignment • Reports to: Director of Channel Sales – Datacenter & Enterprise • Works in close partnership with: Director of Business Development – Storage Platforms & AI DatacenterThis pairing intentionally mirrors the market: • Business Development: new customer acquisition, AI platform attach, ecosystem strategy, and top‑of‑funnel creation • Senior Sales Manager (this role): commercial execution, partner‑led GTM, deal progression, and revenue realizationTogether, these roles pursue the same AI, cloud, and HPC segments, but with a clear separation of strategic creation vs. sales execution. What You Will Own Revenue, Quota & Execution Leadership • Own and deliver quota‑based revenue for WD Datacenter Hard Drives and Storage Platforms across AI, cloud, HPC, and enterprise workloads. • Drive complex, multi‑stakeholder deals from qualification through negotiation and close. • Convert design‑wins, reference architectures, and platform attachments into predictable revenue streams. • Build territory and account plans aligned to: • AI datacenter buildouts • Neo‑Cloud expansion • Cloud service providers (CSPs) and GPU cloud ecosystems • HPC modernization initiativesChannel‑Led GTM & Ecosystem Selling • Execute through systems integrators, OEMs, distributors, and cloud‑adjacent service providers. • Lead co‑sell and joint pursuit motions with partners aligned to AI infrastructure and cloud consumption models. • Work closely with Channel Marketing and BD to: • Drive enablement on AI‑relevant architectures • Support GTM campaigns and partner readiness • Influence partner prioritization of WD platforms • Position WD as a strategic component of AI and cloud infrastructure, not a commodity supplier.Datacenter HDD, Platform & Capacity‑Led Solutions • Lead sales for WD’s Datacenter HDD portfolio, including high‑capacity, SMR, and AI‑data‑lifecycle‑aligned solutions. • Position HDDs as foundational infrastructure supporting: • Tiered storage • Object and data lake architectures • Checkpointing, training data, inference data, and archival • Sell Storage Platforms as part of validated architectures, not stand‑alone products. • Support design‑in, POCs, and customer evaluations with BD and technical teams.Software‑Defined Storage & Architecture‑Led Selling • Confidently position WD hardware within software‑defined storage and cloud‑adjacent ecosystems, including: • Object storage • Distributed file systems • Data lake and AI data platforms • Translate AI, ML, and HPC workload requirements into clear hardware + SDS alignment. • Support adoption of reference architectures, blueprints, and validated designs. • Help partners convert architectural value into repeatable sales motions.Cross‑Functional & Executive Engagement • Operate comfortably alongside: • Business Development leaders • Partner executives • Customer infrastructure and cloud teams • Serve as a trusted commercial counterpart in advanced AI datacenter and cloud pursuits. • Represent WD at industry events, partner forums, and customer briefings tied to active deals.Forecasting, Pipeline & Operating Discipline • Maintain high‑confidence pipeline, forecast accuracy, and deal hygiene. • Track design‑win stages, platform adoption, and revenue milestones. • Use data‑driven insights to prioritize partners, opportunities, and investment.