About the Role
We are seeking a senior software product strategy and product marketing leader to join Qualcomm’s European go-to-market team, focused on defining and driving the regional software strategy for Data Center AI and Personal AI. The role will be Europe-based and will work in close collaboration with European Business Development leads and headquarters Product Management teams. The candidate will translate European customer needs, workload requirements, ecosystem dynamics, and regulatory priorities into actionable software product strategy, product marketing, and roadmap inputs. The primary emphasis will be Data Center AI, including AI infrastructure software, accelerator enablement, workload deployment, developer experience, platform readiness, and regional product positioning. The role will also have meaningful responsibility for Personal AI, including on-device AI, hybrid AI, privacy-preserving AI experiences, cross-device agents, and software experiences across devices and edge platforms. The candidate will support business development by providing software product expertise, market positioning, technical narratives, customer requirement synthesis, and product strategy input.
Responsibilities
- Define and maintain the European software product strategy for Qualcomm AI platforms across Data Center AI and Personal AI.
- 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 where European requirements differ from global assumptions, particularly in areas such as data sovereignty, privacy, energy efficiency, cloud deployment models, enterprise adoption, AI governance, and public-sector requirements.
- Work with headquarters product teams to influence software roadmap priorities based on European customer and partner needs.
- Build a structured view of European software requirements across hyperscalers, telcos, sovereign cloud providers, enterprises, OEMs, ISVs, public sector, industrial customers, and device ecosystem partners.
- Provide regional software product input to planning cycles, customer engagement priorities, executive briefings, and launch readiness activities.
- Lead European software strategy and product marketing for Qualcomm’s Data Center AI platforms.
- Develop software positioning for Qualcomm AI infrastructure across accelerators, CPUs, custom silicon platforms, inference systems, and related data center offerings.
- Define European requirements for AI infrastructure software, including model serving, orchestration, workload management, developer tools, runtime environments, compilers, SDKs, containerization, Kubernetes integration, observability, benchmarking, security, and deployment workflows.
- Develop European messaging around performance, power efficiency, total cost of ownership, software maturity, deployment flexibility, openness, sovereignty, and integration with existing AI infrastructure.
- Support product launches, customer briefings, executive presentations, ecosystem events, and analyst or partner-facing materials with software-focused content.
- Define European software strategy and product marketing input for Qualcomm’s Personal AI initiatives.
- Focus on software aspects of on-device AI, hybrid AI, agentic user experiences, personal context, privacy-preserving AI, identity, memory, model orchestration, and cross-device continuity.
- Work closely with Personal AI Business Development leads to support partner and customer conversations with software product narratives, ecosystem positioning, and use-case clarity.
- Identify European requirements for Personal AI experiences, especially around privacy, data protection, user trust, local processing, cloud-edge coordination, and differentiated regional use cases.
- Help define how Personal AI and Data Center AI software strategies connect through hybrid AI architectures, model routing, secure personalization, workload partitioning, and cloud-edge orchestration.
- Create software-focused product marketing assets for European customers, partners, internal teams, and executive stakeholders.
- Develop value propositions, positioning, competitive comparisons, customer-facing narratives, technical explainers, launch materials, sales enablement content, and ecosystem messaging.
- Ensure that European go-to-market teams have clear and consistent messaging on Qualcomm’s AI software capabilities across Data Center AI and Personal AI.
- Work with regional marketing and communications teams to support events, customer workshops, partner briefings, and thought-leadership activities.
- Translate complex software capabilities into business-relevant narratives for customers, partners, and internal decision-makers.
- Provide structured feedback to headquarters on messaging effectiveness, competitive objections, software gaps, customer priorities, and regional adoption barriers.
Requirements
- Significant experience in software product management, software product strategy, technical product marketing, or AI platform strategy.
- Strong understanding of AI software platforms, including inference, model deployment, runtimes, SDKs, developer tools, AI orchestration frameworks (e.g., Kubernetes-based systems, Ray, vLLM, TGI), and cloud-native and edge AI software stacks.
- Experience with data center AI infrastructure, including CPUs, GPUs, NPUs, and heterogeneous accelerator environments, Kubernetes-based environments, containerization, and workload management, resource scheduling, bin-packing, and topology-aware placement.
- Experience with AI accelerator software and optimization, including model serving, compilers, and runtime frameworks, memory-aware serving, KV cache optimization, and multi-model serving, performance optimization across latency, throughput, and power.
- Understanding of AI infrastructure software stack, including Linux, containers, Kubernetes, and cloud-native deployment patterns, observability frameworks (e.g., OpenTelemetry) and CNCF ecosystem, integration with enterprise or hyperscaler data center control planes.
- Solid knowledge of server and system architecture, including x86 and Arm ecosystems, virtualization, drivers, and OS enablement, memory hierarchy, PCIe, CXL, and system-level design considerations.
- Understanding of AI lifecycle beyond inference: fine-tuning (e.g., LoRA/QLoRA), awareness of distributed training and accelerator clusters, workload placement and resource requirements.
- Understanding of Personal AI software concepts, including on-device AI, hybrid AI, privacy-preserving AI, agentic experiences, contextual AI, and cross-device experiences.
- Experience with cloud, telco, enterprise, sovereign AI, or public-sector AI deployments in Europe.
- Familiarity with open-source AI ecosystems, developer communities, ISVs, system integrators, and cloud-native infrastructure.
- Ability to connect Data Center AI and Personal AI strategies through hybrid AI architectures, edge-cloud orchestration, privacy, identity, and distributed intelligence.
- Ability to influence cross-functional and global teams and operate effectively across time zones.
- This role is focused on software product strategy, software product marketing, and regional go-to-market enablement.
- Define regional software product strategy and requirements.
- Develop software positioning and product marketing narratives.
- Support business development with technical and product expertise.
- Capture and synthesize European customer software requirements.
- Influence headquarters product management and engineering roadmaps.
- Enable customer-facing teams with software-focused materials and messaging.
- The role is not expected to own account strategy or customer relationship management.
- The role is not expected to own sales pipeline, forecasts, bookings, or revenue targets.
- The role is not expected to lead commercial negotiations or contract discussions.
- The role is not expected to replace Data Center or Personal AI business development functions.
- The role is not expected to own customer engineering delivery or deployment execution.
- The role is not expected to serve as a general business development lead independent of software product strategy.
Skills
- Software Product Strategy
- Software Product Marketing
- AI Platform Strategy
- Data Center AI
- Personal AI
- Go-to-Market Strategy
- Product Management
- Technical Product Marketing
- AI Software Platforms
- Inference
- Model Deployment
- Runtimes
- SDKs
- Developer Tools
- AI Orchestration Frameworks
- Kubernetes
- Ray
- vLLM
- TGI
- Cloud-Native AI
- Edge AI
- Data Center AI Infrastructure
- CPUs
- GPUs
- NPUs
- Heterogeneous Accelerator Environments
- Containerization
- Workload Management
- Resource Scheduling
- Bin-packing
- Topology-Aware Placement
- AI Accelerator Software
- Optimization
- Model Serving
- Compilers
- Memory-Aware Serving
- KV Cache Optimization
- Multi-Model Serving
- Performance Optimization
- Latency
- Throughput
- Power Efficiency
- AI Infrastructure Software Stack
- Linux
- Cloud-Native Deployment Patterns
- Observability Frameworks
- OpenTelemetry
- CNCF Ecosystem
- Server Architecture
- System Architecture
- x86 Ecosystem
- Arm Ecosystem
- Virtualization
- Drivers
- OS Enablement
- Memory Hierarchy
- PCIe
- CXL
- System-Level Design
- AI Lifecycle
- Fine-tuning
- LoRA
- QLoRA
- Distributed Training
- Accelerator Clusters
- Workload Placement
- On-Device AI
- Hybrid AI
- Privacy-Preserving AI
- Agentic Experiences
- Contextual AI
- Cross-Device Experiences
- Cloud Deployments
- Telco Deployments
- Enterprise Deployments
- Sovereign AI
- Public-Sector AI
- Open-Source AI Ecosystems
- Developer Communities
- ISVs
- System Integrators
- Cloud-Native Infrastructure
- Edge-Cloud Orchestration
- Privacy
- Identity
- Distributed Intelligence
- Cross-functional Influence
- Global Team Collaboration
- Time Zone Management
- Product Positioning
- Product Marketing Narratives
- Technical Expertise
- Customer Requirement Synthesis
- Messaging Development
- Sales Enablement Content
Location
- Europe
Work Type
- Full-time
Experience Level
- Senior
About the Company
- Qualcomm Technologies International Ltd
Equal Opportunity
- Qualcomm is an equal opportunity employer.
- If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process.
- Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process.
- Qualcomm is also committed to making our workplace accessible for individuals with disabilities.
