Gruve - Presales Lead - Data Center & AI Solution (8-12 Yrs) Pune/Mumbai (Pre-Sales)

Key Roles & Responsibilities:- Engage with customers and prospects to understand their business requirements, technical challenges, and strategic goals, with a focus on data center modernization and AI adoption.- Lead the design and architecture of comprehensive data center and AI solutions, translating customer needs into detailed technical specifications.- Serve as the primary technical consultant for the sales team, providing expert guidance on solutions spanning compute, networking, and storage.- Create and deliver compelling technical presentations, solution overviews, and product demonstrations to both technical and C-level audiences.- Develop detailed proposals, Bill of Materials (BOMs), and Statements of Work (SOWs) for proposed solutions.- Act as a technical liaison between the customer and our engineering teams, ensuring a seamless handover from presales to implementation.- Stay current with emerging technologies and industry trends related to data center, cloud, and artificial intelligence.- Work on RFP/RFI response and leverage expertise to add differentiators in RFPs, ensure technical accuracy, relevance & compliance.Required Skills & Qualifications:- Experience: A minimum of 8 years in presales, solutions architect, or consulting role, with a strong focus on data center and HPC technologies.- Core Expertise: In-depth knowledge of multi-vendor Data Center solutions, including:- Networking: Cisco Nexus and NX-OS, Arista switches and EOS/CloudVision, or other leading data center networking platforms.- Compute: Cisco Unified Computing System (UCS), Dell PowerEdge servers, Supermicro servers (including specialized GPU platforms), and other server technologies.- Management/Orchestration: Experience with Cisco Nexus Dashboard (NDFC, NDO), Arista CloudVision, or similar orchestration tools.- AI/HPC Infrastructure & Cloud-Native: Proven experience or conceptual knowledge in designing infrastructure for AI/ML and containerized workloads, including:- AI/HPC Compute: Nvidia GPU platforms (e.g., DGX systems, A100/H100), CUDA, and related software stacks.- Containers: Red Hat OpenShift or other Kubernetes platforms.- Ability to perform HPC benchmarking, ML perf training & understanding of AI frameworks- Ecosystem Knowledge: Expertise in integrating solutions with third-party ecosystem products, particularly:- Storage: VAST Data, NetApp, Pure Storage, or other high-performance storage solutions.Soft Skills:- Excellent verbal and written communication skills.- Proven ability to deliver impactful presentations and technical demonstrations.- Strong problem-solving and analytical abilities.- Experience collaborating with sales teams and customers to achieve business outcomes. (ref:updazz.com)

Payroll Type : Permanent