Staff AI Product Manager
About The Position
Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world. We are looking for a Staff Product Manager to own the strategic vision, development, and execution of DigitalOcean’s GPU product offerings. This high-impact role positions you at the intersection of advanced technology and market-leading innovation, driving products that influence the future direction of our AI and computational science platform. As a Staff Product Manager, you will serve as product leader owning the foundation that powers accelerated computing. You will define how we strategically define upcoming GPU products, and develop how to acquire, allocate, and deploy GPU resources at scale, ensuring our product aligns with broader business objectives and customer demand for AI/ML and HPC workloads. In this role, you will be a hands-on strategist, bridging customer needs, market realities, and complex technical execution to ensure efficient, effective value delivery.
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
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.
Benefits
- We innovate with purpose.
- We prioritize career development.
- We care about your well-being.
- We reward our employees.
- Employee Assistance Program
- Local Employee Meetups
- flexible time off policy
- reimbursement for relevant conferences, training, and education.
- access to LinkedIn Learning's 10,000+ courses
- equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
1,001-5,000 employees
