Technology Sales Specialist - Fusion Storage

Your role and responsibilities Drive Demand Creation: Develop and execute demand creation strategies to identify and pursue new sales opportunities for AI and Openshift Storage solutions, including IBM Fusion, Fusion HCI, Ceph, Scale, and Content Aware Storage (CAS) Progress Opportunities: Collaborate with clients to understand their needs and progress opportunities to close Solution Delivery: Deliver tailored solutions to meet client needs, utilizing the IBM Fusion Portfolio Business Growth: Identify and capitalize on business growth opportunities, driving revenue expansion through strategic sales planning and execution Client Engagement: Engage with clients to build relationships, understand their needs, and provide solutions that meet their high performance AI storage needs and their Red Hat Openshift Container Storage requirements Required education High School Diploma or GED Preferred education Bachelor's Degree Required technical and professional expertise Combination of knowledge and expertise in Openshift/Kubernetes, software defined storage (SDS), and high performing AI storage environments Understanding of container orchestration, management and storage solutions, specifically within Openshift and Kubernetes environments Knowledge of data protection solutions for containerized applications Deep understanding of storage infrastructure for AI workloads and enterprise-level sales expertise AI/Modern workload familiarity of storage requirements for AI GPU workloads, high performance computing (HPC) and hybrid cloud environments Sales acumen: Demonstrated ability to prospect, qualify, negotiate, and close complex sales deals, often working with business partners Ability to sell both software and hardware solutions Excellent verbal and written communication skills, with ability to engage with C-level executives Consultative selling experience: Value‑based selling, creating business cases, and identifying client pain points Preferred technical and professional experience Familiarity with IBM Storage portfolio including Fusion, Ceph, Scale as well as Data & AI software like WatsonX Understanding of the AI ecosystem including data management of structured, unstructured and event‑driven data for digestion of AI workloads Knowledge of container management and orchestration platforms of Red Hat Openshift and Kubernetes environments Knowledge of competitive technologies like VAST, DDN, Weka, Pure Portworks, and Dell Understanding of the Nvidia platform and Go to Market initiatives Benefits and Compensation Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being Financial programs: 401(k), cash balance pension plan, IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long‑term disability coverage, and performance‑based salary incentive programs Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs Training and educational resources on IBM's AI‑driven learning platform for skill growth and industry‑recognized certifications Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences Salary and Work Arrangements Projected minimum salary per year: $144,000.00 Projected maximum salary per year: $268,000.00 Work arrangement: Hybrid (up to 40% or 2 days a week on weekends based on project requirements) Locations: Irvine, Los Angeles, Denver, Dallas, Austin, San Francisco, Phoenix, Chicago Legal and EEO Statement IBM is an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status. #J-18808-Ljbffr IBM