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jira confluence ai ml hpc📋 Description
- Own and drive the GPU product strategy and roadmap, including capacity and deployment workflow.
- Conduct market analysis on GPU compute trends, pricing, and technologies.
- Collaborate with Engineering to deliver GPU solutions for AI, ML, HPC workloads.
- Advocate for customer deployment needs and prioritize feedback on capacity.
- Partner with Hardware Eng, Capacity Planning, Solutions Architecture, and GTM for GPU launches and lifecycle.
- Use data-driven methods to measure product success, utilization, and velocity.
🎯 Requirements
- 7+ years in product management for cloud compute infra or HPC.
- Deep technical knowledge of GPU architectures (AMD, NVIDIA) and AI/ML usage.
- Proven track record managing complex infrastructure products from concept to deployment.
- Strong ownership and drive to resolve blockers and deliver customer value.
- Analytical problem-solving skills with data-driven capacity decisions.
- Experience with Jira and Confluence for Agile and hybrid environments.
🎁 Benefits
- Compensation range: $186,000 - $233,000.
- This is a remote role.
- Equity compensation and bonuses based on performance.
- Employee benefits vary by location and include development programs.
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