Director, Unstructured Presales Storage - AI Data Platform

About the role

Hewlett Packard Enterprise is seeking a strategic, technically grounded Pre-Sales Leader to drive growth for its X10K AI data platform business. The role owns pre-sales strategy, execution and enablement for AI Factory solutions across RAG, inference and model training workloads, working with enterprise customers, account teams, solution architects, partners and Product Management. It is a hybrid role with about two days per week in an HPE office.

Key responsibilities

• Define and run the pre-sales strategy, set account strategies, territory plans, pipeline priorities and qualification criteria, and track pipeline contribution, deal velocity, win rate and solution adoption.
• Lead strategic engagements with CTOs, CIOs and heads of AI and data, run technical discovery sessions and guide teams through complex enterprise sales cycles.
• Design data-centric AI architectures and solution sizing for RAG, inference and model training, including proof-of-concept and benchmark validation.
• Position X10K and data platforms as enablers of AI performance, covering object storage, S3, vector databases, pipelines and hybrid/cloud deployments.
• Build pre-sales teams through coaching, deal reviews and enablement, and create reusable tools such as discovery frameworks, reference architectures and sizing methodologies.
• Partner with Product Management, Engineering, Marketing, Partners and Customer Success, and create technical content and speak at customer events and industry forums.

Required profile

• 10+ years in technical pre-sales, solutions architecture, sales engineering leadership, field CTO or a similar customer-facing technology leadership role.
• Proven experience leading pre-sales or solutions architecture teams across APAC and EMEA, and driving enterprise sales cycles.
• Strong understanding of AI/ML workflows (RAG, inference, model training) and data architecture (pipelines, data lakes, object storage, metadata).
• Experience designing or positioning GPU-based environments for AI workloads and partnering with Product Management and Engineering.

Preferred qualifications

• Experience leading pre-sales for AI infrastructure, data platforms, cloud or enterprise technology.
• Familiarity with PyTorch, TensorFlow, vector databases and model-serving platforms.
• Background in object storage, high-throughput data platforms or storage technologies.
• Experience building pre-sales organizations, go-to-market programs and sales methodologies.

What we offer

• Health and wellbeing benefits for team members and their loved ones.
• Personal and professional development programs.
• An inclusive, flexible culture.