AND FOR THIS, WE BELIEVE IT WOULD BE IDEAL IF YOU HAD...
Experience
More than 4 years defining Value Propositions, identifying customer value points and differentiators against the competition in the technology sector.
Creation of documentation that defines the products and services to be marketed, in executive format.
Creation of Business Cases, considering cost structure, margin definition, and P&L.
Capabilities to assume integral responsibility for the products and services of the business area they will lead:
Product Strategy to capture business opportunities.
Define a catalog of standardized Products and Services.
Activities related to the launch and management of Telefónica's commercial channels.
Monitoring of results and lifecycle management to maintain commercialization, as well as evolution / associated roadmap.
Knowledge of the Cloud business:
Market situation and main benchmarks (Hyperscalers, Neoscalers, European sovereign clouds, Supercomputing Centers).
As-a-service commercialization models, which allow customers to consume on a pay-per-use basis, reducing investment and accelerating innovation.
Deploy, operate, and evolve technology through automation, reducing operational times and errors.
High-level knowledge of the product and service catalog of Spanish and European competitors.
Technical skills:
HPC/AI/QC platforms, comparative technology analysis, and requirements definition.
Knowledge of model Training/Fine-tuning, Inference, RAG, AI agents, A2A, MCP, and AI-as-a-Service platforms, including vector databases and agent frameworks.
State-of-the-art NVIDIA infrastructure (DGX, Grace Hopper, GB200/GB300, Rubin/Vera Rubin, NVLink, NVSwitch, Spectrum-X).
Virtualization including GPU Passthrough, NVIDIA vGPU/MIG, NUMA-aware scheduling, and alternative GPUs (AMD, Intel Gaudi, Groq, etc.)
HPC orchestration and job scheduling, including Slurm or equivalents, with GPU-aware and topology-aware scheduling.
MLOps tools and AI Platform Engineering, including model training, deployment, and monitoring pipelines.
Knowledge of quantum computing concepts and the various technological approaches from hardware and software vendors in this field will be valued.
Multi-tenant segmentation of infrastructure (compute, storage, network, and security), including IaaS environments (e.g., OpenStack), virtualization, containers, SDN, and microsegmentation;
Enterprise container platforms (Kubernetes/OpenShift) with GPU acceleration, RDMA, SR-IOV, and multi-tenant capabilities;
High-performance parallel storage (Vast, Weka, Netapp...).
AIOps (Prometheus, Grafana, OpenTelemetry, ELK/OpenSearch, etc.)