Description
The Business Development Manager (m-f-d) – Edge Computing Infrastructure drives the expansion of ACS Edge Computing solutions across the US, Europe, and Asia.
The role supports local sales and category teams by bringing strong infrastructure expertise and by defining go-to-market strategies, partnerships, and channel programs to accelerate adoption and pipeline growth.
Key Responsibilities
- Define and execute the local GTM strategy for Edge Computing infrastructure solutions in particular the future ZGX Fury.
- Support regional sales teams with deep knowledge of AI, Data Science, servers, networking, edge software, and architectures.
- Engage early in customer opportunities to shape solution design and deal strategy.
- Build and manage channel programs and technology partnerships (ISVs, integrators, infrastructure and network partners).
- Contribute to lead generation and pipeline development through campaigns, events, and partner initiatives.
- Act as a subject-matter expert on Edge Computing infrastructure and operational challenges, enabling internal teams and partners.
- Organize and support customer events, demos, workshops, and enablement activities to maintain engagement and drive demand generation.
- Develop productive internal and external working relationships and may provide guidance or mentoring to lower-level employees.
Experience & Profile
- 7+ years in business development, sales, or solution strategy within infrastructure or technology solutions
- Experience working with global, multi-region teams
- Strong understanding of AI, data Science, server, network, and edge computing ecosystems
- Experience supporting complex technology sales motions across established markets and strategic customer accounts
- Ability to engage both technical and business stakeholders and translate technical capability into customer value
Benefits
- 50% travel
- Equal Opportunity Employer (EEO)
Focus Areas
- HP ZGX Fury Workstation and any Edge computing solutions
- Local AI workflows including prototyping, fine-tuning, and inference
- Edge AI and workstation-led deployment strategies
- Sales enablement and opportunity shaping
- Partner and ecosystem collaboration
- Pipeline development and customer engagement
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