OUR SECTORS
At Tech Recruit, our sectors cover a wide range of industries within the field of technology.
At European Recruitment, our sectors cover a wide range of industries within the field of technology
At European Recruitment, our sectors cover a wide
range of industries within the field of technology
At European Recruitment, our sectors cover a wide
range of industries within the field of technology
Client services
Learn about the range of client services we offer at Tech Recruit, and browse through our case sudies.
At European Recruitment, our sectors cover a wide range of industries within the field of technology
About us
Learn about Tech Recruit's mission, values, our team, and our commitment to DE&I.
At European Recruitment, our sectors cover a wide range of industries within the field of technology
Senior Data Center, AI Software Product Strategy & Go-To-Market Lead
Senior Data Center, AI Software Product Strategy & Go-To-Market Lead
We are seeking a senior Data Center AI software product strategy and go-to-market leader, to define and drive our European software strategy for the deployment of our AI solutions into European Data Centers. The role aims to guide the introduction of our AI Accelerators, Processors, and other Data Center assets into European data centers. The role includes the definition of customer requirements, workload needs, ecosystem dynamics, and European regulatory priorities into product strategy, roadmap input, and go-to-market messaging.
The emphasis is on AI Data Center infrastructure software, accelerator enablement, workload orchestration, inferencing optimization, workload deployment, platform readiness, and regional product positioning for cloud and data center environments.
Key Responsibilities
1. European Data Center AI Software Product Strategy
Define and maintain the European software product strategy for 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 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.
•
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.
2. Go-to-Market Enablement
•
Develop strategies for integrating our AI accelerators and other assets, into Data Centers with established single or multi-vendor 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 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.
Required Expertise
Core background
•
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
AI software platforms
•
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.
Data center AI infrastructure
•
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.
Apply Now
By applying to this role, you acknowledge that we may collect, store, and process your personal data on our systems.
For more information, please refer to our
Privacy
Notice