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jira confluence ai ml hpc📋 Description
- Own the GPU product strategy and roadmap.
- Define capacity, provisioning, and deployment workflows.
- Conduct market analysis on GPU compute trends and pricing.
- Collaborate with Engineering and Infrastructure for AI/ML/HPC GPUs.
- Advocate for customer deployment requirements and feedback.
- Use data-driven methods to measure utilization and velocity.
🎯 Requirements
- 7+ years PM in cloud compute infra or HPC.
- Deep GPU knowledge (NVIDIA, AMD) for AI/ML/HPC.
- Proven track record delivering complex infra products.
- Strong ownership and issue-resolution drive.
- Analytical, data-driven decisions on capacity and scaling.
- Jira and Confluence in Agile/hybrid; degree in CS/Engineering or equivalent.
🎁 Benefits
- Compensation range: $186,000 - $233,000.
- This is a remote role.
- Career development resources and training.
- Equity compensation and bonus potential.
- Comprehensive benefits and well-being programs.
- DigitalOcean is an equal-opportunity employer.
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