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Product Specialist (GPU & Distributed Compute)(m/w/x)
Defining next-gen AI platform vision for enterprise cloud storage, identifying AI/ML/HPC use cases. 7+ years product management or technical pre-sales experience, with GPU/cloud/AI/ML expertise essential. Hybrid work model.
Requirements
- 7+ years of product management or technical pre-sales experience
- Master’s degree, PhD in technical field, or outstanding practical work experience
- Technical expertise in GPUs, cloud, and AI/ML workloads
- Experience managing complex products from concept through deployment
- Analytical skills and strategic data-driven decision-making
- Customer-focused mindset and experience gathering insights
- Strong sense of ownership and problem-solving drive
- Leadership and cross-functional communication skills
- Executive presence and relationship building skills
Tasks
- Define the next-generation AI platform vision
- Translate product strategy into executable roadmaps
- Identify optimal AI, ML, and HPC use cases
- Lead the product lifecycle from concept to launch
- Conduct deep market and competitive analysis
- Analyze utilization and deployment velocity metrics
- Build AI automation to optimize research processes
- Partner with engineering on technical specifications
- Advocate for specific customer deployment requirements
- Orchestrate product launches with cross-functional teams
- Manage scalable resource launches and adoption
- Automate internal processes using AI tools
Work Experience
- 7 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Cloud compute infrastructure
- Agentic products
- GPUs
- Cloud
- AI/ML workloads
- AI infrastructure
Benefits
Flexible Working
- Hybrid work
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Product Specialist (GPU & Distributed Compute)(m/w/x)
Defining next-gen AI platform vision for enterprise cloud storage, identifying AI/ML/HPC use cases. 7+ years product management or technical pre-sales experience, with GPU/cloud/AI/ML expertise essential. Hybrid work model.
Requirements
- 7+ years of product management or technical pre-sales experience
- Master’s degree, PhD in technical field, or outstanding practical work experience
- Technical expertise in GPUs, cloud, and AI/ML workloads
- Experience managing complex products from concept through deployment
- Analytical skills and strategic data-driven decision-making
- Customer-focused mindset and experience gathering insights
- Strong sense of ownership and problem-solving drive
- Leadership and cross-functional communication skills
- Executive presence and relationship building skills
Tasks
- Define the next-generation AI platform vision
- Translate product strategy into executable roadmaps
- Identify optimal AI, ML, and HPC use cases
- Lead the product lifecycle from concept to launch
- Conduct deep market and competitive analysis
- Analyze utilization and deployment velocity metrics
- Build AI automation to optimize research processes
- Partner with engineering on technical specifications
- Advocate for specific customer deployment requirements
- Orchestrate product launches with cross-functional teams
- Manage scalable resource launches and adoption
- Automate internal processes using AI tools
Work Experience
- 7 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Cloud compute infrastructure
- Agentic products
- GPUs
- Cloud
- AI/ML workloads
- AI infrastructure
Benefits
Flexible Working
- Hybrid work
About the Company
Impossible Cloud
Industry
IT
Description
The company is a European provider redefining cloud storage with enterprise-grade, S3-compatible object storage that emphasizes performance and data sovereignty.
Not a perfect match?
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