Technical Product Manager

January 9

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Logo of DDN

DDN

DDN is a global leader in AI data intelligence solutions, providing high-performance computing and sophisticated data management technologies. With a focus on accelerating AI deployments and advanced data analytics, DDN's products, including the Data Intelligence Platform and advanced storage systems, serve diverse sectors such as healthcare, financial services, and government. DDN is committed to transforming enterprise data infrastructure to leverage the full potential of AI and drive operational efficiency.

Artificial Intelligence • Data Storage • Machine Learning • Analytics • Enterprise AI

1001 - 5000 employees

Founded 1998

🤖 Artificial Intelligence

💰 $10M Funding Round on 2011-06

📋 Description

• This is an incredible opportunity to be part of a company that has been at the forefront of AI and high-performance data storage innovation for over two decades. • DataDirect Networks (DDN) is a global market leader renowned for powering many of the world's most demanding AI data centers, in industries ranging from life sciences and healthcare to financial services, autonomous cars, Government, academia, research and manufacturing. • DDN is the global leader in AI and multi-cloud data management at scale. • Our cutting-edge data intelligence platform is designed to accelerate AI workloads, enabling organizations to extract maximum value from their data. • This is a chance to make a significant impact at a company that is shaping the future of AI and data management.

🎯 Requirements

• 10+ years of Product Management, Systems Engineering or Solutions Architect experience in enterprise software, storage solutions, or cloud infrastructure. • Significant practical experience working with parallel file systems (preferably Lustre), high-performance networking architectures with technologies such as RoCE or Infiniband, and large-scale data storage architectures. • Proven experience working with engineering teams in an Agile environment. • Strong technical, analytical and problem-solving skills with a data-driven mindset. • Excellent communication and stakeholder management skills. • Ability to balance technical depth with customer-centric priorities. • Experience with deployment models, including on-premises, hybrid, and cloud. • Product Management, Systems Engineering, Solutions Architect experience is very relevant. • Bachelor’s degree in Computer Science, Engineering, or a related field; MBA is a plus. • Experience with open-source software communities and contribution processes. • Familiarity with performance tuning and optimization in storage systems. • Operational experience with infrastructure observability platforms such as Prometheus, OpenTelemetry. • Knowledge of AI/ML workloads and their impact on storage performance. • Experience with container technologies like Docker and orchestration platforms like Kubernetes. • This position requires participation in an on-call rotation to provide after-hours support as needed. • Travel will be required at times for important customer and engineering engagements.

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