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Drive new logo acquisition and pipeline development across the Nordics for WEKA's AI/HPC storage solutions. Manage partner selling, accelerate customer adoption, collaborate with sales engineering, and engage senior management to meet revenue targets.

The Regional Sales Manager will lead expansion efforts in Northern Europe, focusing on acquiring new clients and managing relationships, driving customer engagement and adoption.

Own and scale WEKA's global partner ecosystem across OEMs and ISVs: manage relationships, define partner GTM and program structure, enable field sales with playbooks and co-sell motions, orchestrate cross-functional certification and co-marketing, hire and lead regional partner managers, and own partner-influenced pipeline and revenue targets.

Partner with customers to demo, configure, and evaluate WEKA storage solutions; provide technical architecture presentations, performance analysis, RFP/RFI responses, and ongoing advisory support. Act as hands-on SME and feedback channel to product and R&D teams.

The Senior Product Manager will define and manage the roadmap for WEKA appliances, liaise with ecosystem partners, and ensure product delivery while maintaining market insights and collaboration with sales and engineering teams.

As a Software Engineer in Test, design and implement distributed frameworks, build AI-driven tools, and ensure platform resilience through chaos experiments and telemetry pipelines.

As a Senior Designated Services Engineer at WEKA, you will ensure customer success by addressing technical issues, managing relationships, and refining products, requiring deep knowledge of enterprise infrastructure and customer technologies.

Lead design and implementation of next-generation build and development infrastructure, improve testing and debugging tools, integrate AI-driven automation for tests and anomaly detection, collaborate with DevOps/QA/dev teams, mentor engineers globally, and spend at least 60% hands-on coding to boost developer velocity and platform quality.

Lead and own end-to-end LLM inference infrastructure, direct a small engineering squad, design and deliver high-throughput low-latency serving systems, remain hands-on (Python/C++/CUDA), solve inference-scale problems (KV caching, RDMA, NVMe, multi-tier GPU memory), and mentor engineers.

Design and develop core features of a high-performance filesystem. Collaborate on kernel driver development, improve performance and provide architectural guidance.