Enterprise Sales Manager - Data Storage & AI Solutions

Key Responsibilities Revenue & Pipeline Management Own and exceed quarterly and annual sales quotas for enterprise data storage and AI solution portfolios Build, manage, and forecast a healthy pipeline across net-new logo acquisition and account expansion Develop and execute territory and account plans targeting across various sectors Lead commercial negotiations, pricing discussions, and contract closures Maintain rigorous pipeline hygiene and CRM discipline using Salesforce or equivalent platforms Enterprise Account Management Engage CxO, CIO, CDO, and senior IT stakeholders to articulate strategic business value Build long-term relationships with key decision-makers and economic buyers across named accounts Identify upsell and cross-sell opportunities within existing accounts and orchestrate renewal strategies Manage complex, multi-stakeholder sales cycles from 6 to 18 months in duration Channel & Ecosystem Development Work with channel partners, resellers, and system integrators to co-sell and expand market reach Build relationships with key technology alliance partners (e.g., VMware, AWS, Microsoft, NetApp) Represent the company at industry events, executive roundtables, and customer-facing forums in Singapore and the broader SEA region Market Intelligence Monitor competitive dynamics in enterprise storage, hybrid cloud, and AI infrastructure markets Provide regular feedback to product and marketing teams on market needs, competitive gaps, and customer insights Required Qualifications Experience Minimum 8 years of enterprise technology sales experience with a strong focus on data storage solutions Demonstrated track record of consistently meeting or exceeding annual quotas in enterprise hardware/software sales Proven success selling to large enterprise and mid-market accounts in Singapore and/or Southeast Asia Experience managing channel-led and direct sales models Domain Knowledge Strong commercial understanding of enterprise data storage: SAN, NAS, object storage, all-flash arrays, hyperconverged infrastructure (HCI) Familiarity with market-leading vendors: NetApp, Dell EMC, Pure Storage, HPE, IBM Storage, Hitachi Vantara Understanding of hybrid and multi-cloud storage architectures (AWS, Azure, GCP) Ability to discuss AI/ML infrastructure needs at a business level — data readiness, storage for AI workloads, GenAI use cases Skills & Competencies Exceptional executive communication and C-level engagement skills Strong commercial acumen with experience in complex deal structuring and negotiation Ability to manage and coordinate internal presales, technical, and executive resources in a team-selling environment Self-starter with high accountability and a hunter mentality Proficiency in CRM platforms (Salesforce preferred) and pipeline forecasting discipline Preferred Qualifications Prior experience selling AI infrastructure, GPU/compute solutions, or data platform products (e.g., Snowflake, Databricks) Exposure to GenAI commercial conversatio