Senior Solutions Architect - Pre Sales

Posted 6 Days Ago
Be an Early Applicant
Hiring Remotely in Office, Machaze, Manica, MOZ
Remote
Senior level
Artificial Intelligence • Machine Learning • Software • Analytics
The Role
Lead pre-sales engagements for AI and HPC infrastructure solutions in India. Design architectures and proposals, support proofs of concept and benchmarking, prepare RFP responses and technical presentations, and create bills of materials. Partner with sales, engineering, professional services, and customers to qualify and close opportunities. Provide competitive analysis, participate in events, and manage post-sale customer relationships to drive repeat business.
Summary Generated by Built In

We are currently seeking candidate for Pre-Sales Solutions Architect – India, to join our dynamic team of passionate customer-enabling technologists ! The ideal candidate will have a deep understanding of AI & HPC infrastructure solutions and a proven track record of driving successful pre-sales engagements with great communications and presentation skills. The candidate expected to:

  • Design solutions and proposals to meet customer-defined specifications,

  • Help customers define solution specifications matching DDN products,

  • Provide Proof of Concept (POC) and benchmarking support,

  • Compare and contrast with competitive products to highlight DDN’s superior features & functionality

  • Work with DDN engineering, professional services and sales teams to drive win ratio.

Duties and Responsibilities:

The duties and responsibilities for this role include but are not limited to;

  • Pre-sales activity supporting HPC and AI customers.

  • Assist in closing new business opportunities by gaining a thorough technical and business understanding of clients' needs and helping sales identify, qualify, and close new opportunities.

  • Understand the sales process and how to utilize company resources to close accounts.

  • Participate in customer-focused seminars, tradeshows, events, and training.

  • Provide RFP responses, technical drawings, presentations, and recommendations.

  • Acquire and maintain a thorough technical and procedural understanding of DDN Sales cycles, products/services and a thorough technical understanding of similar industries.

  • Create of Bill of Materials of proposed solutions for DDN products and professional services.

  • Ability to work with DDN Subject Matter Experts from different geographies and time zones.

  • Ability to manage customer relationship post-sale, including strategy to close repeat business.

Qualifications:
  • BSc or higher degree or equivalent

PERSONAL SKILLS:
  • Ability to simplify and explain complex tasks, architectures and environments.

  • Good written and oral communication skills. Must be able to develop and deliver presentations; connect and build a rapport with customers via phone, face to face meetings, and in written correspondences.

  • Ability to work independently, respond timely and remain composed in hectic environments.

  • Ability to listen, understand and articulate the customer's needs, along with possible solutions to sales team and sales management.

IT INCREASE YOUR CHANCES OF GETTING HIRED IF YOU HAVE:
  • 5+ years of “relevant” pre-sales experience

  • Good understanding of AI ecosystem of NVIDIA/AMD/INTEL GPUs including but not limited to hardware components, software libraries, containerization technologies like Docker and Kubernetes, middleware and application stack.

  • Good understanding of storage technologies including SAN, NAS, DAS, Parallel Filesystems, Object Storage, Software Defined Storage etc.

  • Good knowledge of storage protocols like BLOCK I/O, NFS, SMB and S3 and what’s required to build solutions around them.

  • Good understanding of Ethernet and InfiniBand networking technologies including network topology, blocking ratios, throughput and IOPS capabilities etc.

  • Experience of working with Lustre/GPFS/Weka/BeeGFS in the capacity of building or deploying the solution is a plus.

  • Experience of architecting or deploying solutions in public or private clouds and multitenant environments.

  • Understanding of appropriate content to be developed to address different set of customers (as per their seniority level in the organization).

Skills Required

  • Bachelor of Science degree or higher, or equivalent
  • 5+ years of relevant pre-sales experience
  • Understanding of AI ecosystems, including NVIDIA, AMD, and Intel GPUs
  • Knowledge of GPU hardware, software libraries, Docker, Kubernetes, middleware, and application stacks
  • Understanding of storage technologies including SAN, NAS, DAS, parallel file systems, object storage, and software-defined storage
  • Knowledge of Block I/O, NFS, SMB, and S3 storage protocols
  • Understanding of Ethernet and InfiniBand networking technologies
  • Experience with Lustre, GPFS, Weka, or BeeGFS
  • Experience architecting or deploying solutions in public or private clouds and multitenant environments
  • Strong written, oral, presentation, customer communication, and relationship-building skills
  • Ability to work independently and manage customer relationships
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The Company
HQ: Chatsworth, CA
706 Employees
Year Founded: 1998

What We Do

DDN is the world’s largest private data storage company and the leading provider of intelligent technology and infrastructure solutions for Enterprise At Scale, AI and analytics, HPC, government and academia customers. Through its DDN and Tintri divisions, the company delivers AI, Data Management software and hardware solutions, and unified analytics frameworks to solve complex business challenges for data-intensive, global organizations. DDN provides its enterprise customers with the most flexible, efficient and reliable data storage solutions for on-premises and multi-cloud environments at any scale. Over the last two decades, DDN has established itself as the data management provider of choice for over 11,000 enterprises, government, and public-sector customers, including many of the world’s leading financial services firms, life science organizations, manufacturing and energy companies, research facilities, and web and cloud service providers.

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