Description:
Enterprise ICT, Mission-Critical Systems and Strategic Technology Partnerships.
IES Engineering is the sole distributor of VAST Data in Pakistan, bringing a next-generation data platform to organizations building AI, GPU, HPC and data-intensive environments.
We work with technology-driven organizations to design and deliver infrastructure across AI compute, GPU/HPC, high-performance data platforms, storage, networking and data centers.
About the Role
We are looking for a senior business-development leader to build and lead IES Engineering's AI Infrastructure & Strategic Accounts business.
The primary responsibility is to identify strategic organizations, establish C-level relationships, create high-value opportunities and develop them into major AI infrastructure and data-platform projects.
The successful candidate will be expected to operate comfortably at the CEO, CTO, CIO, Chief Data Officer, Head of AI and senior infrastructure leadership level.
Strategic Market Focus
The role will focus on organizations investing in or planning:
- AI Cloud infrastructure
- GPU Cloud / GPU infrastructure
- AI and machine-learning platforms
- HPC environments
- Enterprise AI initiatives
- Large-scale data platforms
- Data-intensive applications
- Data center expansion and modernization
Priority industries include:
AI Cloud Providers | Telecommunications | Oil & Gas | Large Enterprises | Government & National Infrastructure
VAST Data Focus
As IES Engineering's sole distributor for VAST Data in Pakistan, the candidate will play a key role in developing the VAST Data market.
The candidate will identify organizations where VAST Data can address requirements such as:
AI Data Pipelines | GPU Infrastructure | High-Performance Storage | Unstructured Data | Enterprise Data Platforms | AI/HPC Workloads
The role is not simply to sell storage.
The candidate must be able to understand the customer's broader AI infrastructure strategy and position VAST Data as a strategic data-platform layer within that architecture.
Key Responsibilities
- Build IES Engineering's AI Infrastructure & Strategic Accounts business
- Identify high-value AI Cloud, GPU and enterprise infrastructure opportunities
- Develop relationships with CEOs, CTOs, CIOs and senior technology leaders
- Build and manage strategic account plans
- Identify AI infrastructure requirements at an early stage
- Create opportunities before formal procurement or tender processes
- Lead executive-level business-development meetings
- Discover customer business, AI and infrastructure requirements
- Position VAST Data and IES Engineering's AI infrastructure capabilities appropriately
- Coordinate with IES pre-sales and engineering teams for technical discovery and solution development
- Work with VAST Data's technical and commercial teams on strategic opportunities
- Develop proposals and business cases for major opportunities
- Manage complex, long-cycle enterprise sales engagements
- Build a qualified and measurable strategic sales pipeline
- Lead negotiations and drive opportunities toward closure
- Develop long-term strategic relationships and partnerships
- Represent IES Engineering and VAST Data at executive meetings, industry events and technology forums
- Contribute to the development of IES Engineering's long-term AI Infrastructure strategy in Pakistan
What We Are Looking For
- 7–12 years of experience in enterprise technology sales, strategic accounts, data centers, cloud, AI infrastructure, storage, networking, HPC or related fields
- Proven track record in large and complex enterprise technology sales
- Strong existing relationships with senior technology and business decision-makers
- Ability to engage confidently with CEO/CIO/CTO-level stakeholders
- Strong understanding of modern data-center and AI infrastructure concepts
- Experience with AI, GPU, HPC, cloud, storage or data platforms is highly desirable
- Strong consultative and strategic-selling capability
- Ability to identify and create opportunities rather than waiting for tenders
- Strong commercial negotiation and executive presentation skills
- Experience with AI Cloud, telecommunications, oil & gas, data centers or large enterprises is highly desirable
- Bachelor's degree / Graduation in Computer Science, Information Technology, Engineering, Business Administration or a related discipline