Staff AI Product Manager

DigitalOcean

$186K — $233K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7+ years of product management experience in cloud compute infrastructure or high-performance networking
  • Deep technical knowledge of GPU architectures (AMD, NVIDIA)
  • Proven track record of managing complex infrastructure products from concept to deployment
  • Strong sense of ownership and problem-solving capability
  • Exceptional analytical skills for data-driven decision-making
  • Strong leadership and cross-functional communication skills
  • Customer-focused mindset for translating insights into product improvements
  • Experience with Atlassian suite (Jira, Confluence) in Agile environments
  • Bachelor's or Master's degree in Computer Science, Engineering, or related field

Responsibilities

  • Own and drive the product strategy and roadmap for GPUs aligning with cloud infrastructure objectives
  • Conduct comprehensive market analysis on GPU compute trends and competitive offerings
  • Collaborate with Engineering teams to develop and deliver GPU solutions for AI, ML, and HPC
  • Advocate for customer deployment requirements to refine the platform offerings
  • Partner with cross-functional teams for successful GPU resource launches
  • Utilize data-driven approaches to track product success and guide enhancements

Benefits

  • Innovative work culture that emphasizes purpose and responsibility
  • Commitment to career development with resources for training and education
  • Comprehensive benefits for employee well-being, including flexible time off
  • Competitive salary with performance bonuses and equity compensation
  • Equal opportunity employer promoting diversity and inclusion
Full Job Description
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.
What You'll Do
  • 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.
What You'll Add to DigitalOcean
  • 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
Compensation Range:
  • $186,000 - $233,000

*This is a hybrid role



#LI-Hybrid

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