DigitalOcean is a cutting-edge technology company focused on simplifying cloud and AI for builders. The Staff AI Product Manager will own the strategic vision and execution of GPU product offerings, collaborating with various teams to ensure alignment with business objectives and customer demand for AI/ML and HPC workloads.
Responsibilities:
- Own and drive the product strategy and roadmap for DigitalOcean’s GPUs including defining capacity, provisioning, and deployment workflow, aligning closely with overall cloud infrastructure objectives
- Conduct comprehensive market analysis on GPU compute trends, competitive offerings, pricing, and emerging technologies to inform product direction and positioning
- Collaborate directly with Engineering and Infrastructure teams to conceptualize, develop, and deliver cutting-edge GPU solutions optimized for AI, ML, and HPC workloads
- Serve as the primary advocate for customer deployment requirements, actively collecting and prioritizing feedback to continually refine the capacity consumption experience and platform offerings
- Partner effectively with Hardware Engineering, Capacity Planning, Solutions Architecture, and Go-to-Market teams to ensure successful, scalable GPU resource launches and full lifecycle management
- Utilize data-driven approaches to evaluate product success, track key metrics around utilization and deployment velocity, and guide strategic product enhancements
Requirements:
- 7+ years of product management experience, specializing in cloud compute infrastructure, accelerated computing, or high-performance networking
- Deep technical knowledge of GPU architectures (AMD, NVIDIA) and their specific applications in AI, ML, and High-Performance Computing (HPC) environments
- Proven track record of successfully managing complex infrastructure products from initial concept through large-scale deployment and optimization
- A strong sense of ownership and a drive to figure out and resolve any issues preventing you and your team from delivering value to your customers
- Exceptional analytical and problem-solving skills, with a demonstrated ability to make and communicate strategic, data-driven decisions, especially related to capacity and scaling
- Strong leadership and cross-functional communication skills, capable of driving consensus and inspiring collaboration across technical and business teams
- Customer-focused mindset, with direct experience gathering insights and translating them into valuable product improvements
- Experience with the Atlassian suite (Jira and Confluence) for managing the flow of value in both Agile and hybrid environments
- A Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field, or equivalent practical work experience