Senior Solutions Manager

Beijing Foreign Enterprise Management Consultants Co.,Ltd.; Xico; Presencial; MXN 1.200.000 - 1.800.000; Jornada completa

Descripción de la vacante

Huawei in Mexico seeks a Senior Solutions Manager to drive opportunity development and account shaping across LATAM. You will lead technical discovery workshops and end-to-end architectures covering compute, storage, networking and hybrid-cloud integration.

The role requires strong executive communication, pre-sales leadership and the ability to coordinate PoCs, RFI/RFP responses and BoM inputs with partners and customers. Travel within LATAM is expected.

Formación

• Bachelor's degree in CS/IT/Engineering or related field.
• 8+ years in enterprise infra, cloud, data-center solutions, or pre-sales.
• Strong understanding of server platforms, AI accelerators, and networking.
• Experience leading technical discovery, PoCs and RFP responses.

Responsabilidades

• Opportunity development and account shaping with stakeholders.
• Lead discovery workshops; architecture for compute, storage and hybrid-cloud.
• Present to executives and coordinate PoCs, benchmarks and demonstrations.
• Contribute to RFI/RFP responses, BoM and TCO inputs.
• Engage ecosystem partners; track competitive strategies and migrations.
• Stay engaged through closure and handover to delivery teams.

Conocimientos

Executive communication

Stakeholder management

Pre-sales & solution architecture

Public speaking & demos

Educación

Bachelor's degree in Computer Science, Information Technology, Electrical/Electronic Engineering or related

Herramientas

Kubernetes/OpenShift

RHEL

AI infrastructure familiarity (GPUs/NPUs)

Descripción del empleo

On behalf of Huawei, a world-renowned it and communications company, we are looking for Senior Solutions Manager talents.

Please see the position details below:

Key Responsibilities

• 1. Opportunity Development & Account Shaping : Partner with account managers to build and 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. 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.
• 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.