
1001 - 5000 employees
Founded 2011
☁️ SaaS
SaaS • Cloud Computing
DigitalOcean is a cloud infrastructure provider that offers a suite of products and services for developers to build, deploy, and scale applications. Their platform provides comprehensive tutorials, reference material, and support documentation to assist users in managing resources effectively using their API and CLI tools. With features like Droplets (virtual machines), managed databases, Kubernetes, and a marketplace for third-party applications, DigitalOcean focuses on simplicity and performance. They cater to both individual developers and larger organizations looking for cloud solutions that are easy to implement and manage.
🕒 March 4
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1001 - 5000 employees
Founded 2011
☁️ SaaS
SaaS • Cloud Computing
DigitalOcean is a cloud infrastructure provider that offers a suite of products and services for developers to build, deploy, and scale applications. Their platform provides comprehensive tutorials, reference material, and support documentation to assist users in managing resources effectively using their API and CLI tools. With features like Droplets (virtual machines), managed databases, Kubernetes, and a marketplace for third-party applications, DigitalOcean focuses on simplicity and performance. They cater to both individual developers and larger organizations looking for cloud solutions that are easy to implement and manage.
• Own and drive the product strategy and roadmap for DigitalOcean’s GPUs • Conduct comprehensive market analysis on GPU compute trends • Collaborate directly with Engineering and Infrastructure teams • Serve as the primary advocate for customer deployment requirements • Partner effectively with Hardware Engineering and other teams • Utilize data-driven approaches to evaluate product success
• 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) • Proven track record of managing complex infrastructure products • Strong sense of ownership • Exceptional analytical and problem-solving skills • Strong leadership and cross-functional communication skills • Customer-focused mindset with experience gathering insights • Experience with the Atlassian suite (Jira and Confluence) • A Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
• Competitive salary • Reimbursement for relevant conferences, training, and education • Access to LinkedIn Learning's 10,000+ courses • Employee Assistance Program • Flexible time off policy • Equity compensation including grants and stock purchase options
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