Senior Ai Solutions Sales

Senior Ai Solutions Sales - Detalhes da Vaga. ● Please see the position details below:We are hiring experienced local professionals in Brazil and Mexico to develop and win AI computing opportunities with large enterprise customers. ● This is a customer-facing solution sales role with strong pre-sales ownership: you will identify and qualify opportunities, lead technical discovery, shape the solution and competitive strategy, drive PoCs and tenders, and support the account team through commercial closure and handover. ●Key Responsibilities1. ● Opportunity Development & Account Shaping: Partner with account managers to build and qualify the AI computing pipeline. ● Identify customer priorities, use cases, stakeholders, decision criteria, budget and procurement path; convert early-stage needs into actionable opportunities and account plans. ●2. ● Customer Discovery & Solution Architecture: Lead technical and business discovery workshops. ● Translate AI training, inference, HPC and enterprise workloads into end-to-end architectures covering compute, accelerators, cluster topology, storage, networking, operating systems, containers and hybrid-cloud integration. ● Define sizing, capacity, availability, security and expansion assumptions. ●3. ● Technical Influence, Workshops & PoCs: Present solutions to C-level executives, technical decision-makers and architecture teams. ● Build customer-specific demonstrations, PoC plans and benchmark criteria; coordinate resources, track results and close technical gaps. ● Explain trade-offs in a clear, commercially relevant way. ●4. ● Bid, Tender & Commercial Support: Own or contribute to RFI/RFP responses, solution blueprints, Bills of Materials (BoM), compliance matrices, Statements of Work and TCO/business-case inputs. ● Support public tenders and enterprise procurement, address technical objections and help the sales team position a competitive, executable offer. ●5. ● Ecosystem & Competitive Strategy: Work with local system integrators, ISVs, cloud partners and data-center partners to complete the solution. ● Track competing AI and infrastructure platforms, customer incumbent environments and ecosystem dependencies; develop practical migration, interoperability and differentiation strategies. ●6. ● Deal Closure & Handover: Stay engaged through negotiation and closure to protect solution scope and feasibility. ● After award, hand over the agreed architecture, assumptions, commitments, risks and PoC findings to delivery and support teams, and maintain continuity with the customer. ●Job Requirements & Professional Knowledge:

• Bachelor’s degree in Computer Science, Information Technology, Electrical/Electronic Engineering or a related technical discipline. ●
• 8+ years of experience in enterprise infrastructure, cloud, data-center solutions, solution architecture, pre-sales or technical solution sales; at least 5 years in a customer-facing role in the assigned local market. ●
• Demonstrated experience selling or designing AI computing, accelerated computing, HPC or large-scale server/platform solutions. ●
• Strong understanding of enterprise server platforms, CPU architectures (including x86 and ARM), AI accelerators/GPUs/NPUs, cluster design, storage and data-center networking. ●
• Working knowledge of AI workload fundamentals, including training vs. ● inference, distributed computing, model deployment, performance bottlenecks and the mainstream AI software ecosystem. ● Deep model-development or data-science coding expertise is not required. ●
• Hands-on familiarity with Linux and cloud-native infrastructure, including RHEL or equivalent enterprise Linux, Kubernetes/OpenShift or comparable container platforms, and hybrid-cloud integration patterns. ●
• Proven ability to lead technical discovery, solution sizing, customer presentations, PoCs, RFP/RFI responses, BoM development and TCO/business-case discussions. ●
• Strong executive communication and stakeholder-management skills. ● Able to work with business leaders, procurement teams and technical specialists without losing technical depth or commercial focus. ●
• Ability to work independently across a multi-country organization and travel within the assigned country/LATAM when customer engagements require it. ●. Requisitos para participar do processo. ● . O que oferecemos.