Senior Data Center, AI Software Product Strategy & Go-To-Market Lead — Qualcomm - Europe
Teknik, data och digitalt · Data, AI och analys · Datavetenskap · Mjukvaruutveckling · Produktledning
I korthet
Qualcomm is seeking a senior leader to define and drive their European software strategy for AI solutions in Data Centers. This role involves guiding the introduction of Qualcomm AI Accelerators and Processors into European data centers, translating customer and regulatory needs into product strategy, and developing go-to-market messaging.
Ansvarsområden
- Define and maintain the European software product strategy for Qualcomm Cloud and Data Center AI platforms.
- Represent European software requirements to headquarters product management and engineering teams.
- Translate customer, partner, regulatory, and ecosystem needs into software product requirements, roadmap inputs, product positioning, and go-to-market messaging.
- Identify European requirements differing from global assumptions (data sovereignty, privacy, energy efficiency, etc.).
- Develop narratives for cloud providers, telcos, enterprises, sovereign cloud providers, public-sector customers, ISVs, and system integrators.
- Capture competitive objections, software gaps, developer needs, and adoption barriers from European engagements.
- Develop strategies for integrating Qualcomm AI accelerators and assets into Data Centers with established software stacks.
- Develop value propositions, positioning, competitive comparisons, customer-facing narratives, technical explainers, launch materials, sales enablement content, and ecosystem messaging.
- Equip European go-to-market teams with clear messaging on Qualcomm’s Cloud and Data Center AI software capabilities.
- Work with regional marketing and communications teams to support events, customer workshops, partner briefings, and thought-leadership activities.
Krav
- Data Center AI and Cloud Software expertise.
- Understanding of how Software stack is used to deploy and optimize a large AI Model in a Data Center.
- Understanding of how AI workloads are deployed and optimized in a Data Center.
- Inference, model deployment, runtimes, SDKs, developer tools.
- AI orchestration frameworks, e.g., Kubernetes-based systems, Ray, vLLM, TGI.
- Cloud-native AI software stacks, deployment patterns, and data center operating models.
- CPUs, GPUs, NPUs, and heterogeneous accelerator environments.
- Kubernetes-based environments, containerization, and workload management.
- Resource scheduling, bin-packing, and topology-aware placement.
- Model serving, compilers, and runtime frameworks.
- Memory-aware serving, KV cache optimization, and multi-model serving.
- Performance optimization across latency, throughput, and power.
Önskade kvalifikationer
- References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.
Förmåner
- Qualcomm is committed to providing an accessible process.
- Qualcomm is committed to making our workplace accessible for individuals with disabilities.
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