Job Description
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.
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.
- 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
- $186000 - $233000
*This is a hybrid role
JR: 2025-7388
#LI-Hybrid
- We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team you will be a Shark who thinks big bold and scrappy like an owner with a bias for action and a powerful sense of responsibility for customers products employees and decisions.
- We prioritize career development. At DO you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences training and education. All employees have access to LinkedIn Learning's 10000+ courses to support their continued growth and development.
- We care about your well-being. Regardless of your location we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy to name a few. While the philosophy around our benefits is the same worldwide specific benefits may vary based on local regulations and preferences.
- We reward our employees. The salary range for this position is based on market data relevant years of experience and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
- DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race religion color ancestry national origin caste sex sexual orientation gender gender identity or expression age disability medical condition pregnancy genetic makeup marital status or military service.
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.
Skills Required
- 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 applications in AI ML and HPC
- Proven track record of managing complex infrastructure products from concept to deployment
- 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)
- Bachelor's or Master's degree in Computer Science Engineering or a related field or equivalent practical experience
What the Team is Saying
DigitalOcean Compensation & Benefits Highlights
- Healthcare Strength—Medical dental vision and mental-health support are prominently offered alongside employer-paid life AD&D and disability coverage supplemented by tools such as Headspace Rightway and Carrot. Coverage is positioned as market-leading and oriented toward comprehensive wellness.
- Leave & Time Off Breadth—Flexible or unlimited PTO is emphasized and paid parental leave includes a structured part-time transition-back program. Time off programs are highlighted as a valued part of the overall package.
- Retirement Support—A 401(k) with employer match and immediate vesting is offered in the U.S. alongside tax-advantaged accounts like HSA/FSA. These elements underscore long-term savings support in addition to core insurance coverage.
DigitalOcean Insights
What We Do
DigitalOcean is the Inference Cloud — a full-stack production-ready cloud platform built to run AI applications with predictable performance sustainable economics and radically simpler operations at scale. We are built for teams turning AI into real products — not just training models. Our advantage is not fewer features but fewer failure modes when operating AI at scale — combining minimal operational overhead predictable cost efficiency and a full-stack cloud that works as a system. Hyperscalers are broad by design. Neoclouds are infrastructure-first. DigitalOcean is inference-first — with a real cloud underneath. It combines inference-optimized compute managed inference software and integrated cloud capabilities that reduce operational burden for teams running real workloads. Inference is the foundation—not the boundary. Everything else builds on top of it.
Why Work With Us
At DO we do career-defining work. We innovate with AI and build cutting-edge tech. Our rewards to match that intensity - to motivate you recognize your impact and give you what you need to thrive. If you have a growth mindset like to think big and bold and are energized by the fast-paced environment you'll find your place here.
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DigitalOcean Offices
Remote Workspace
Employees work remotely.
We commit to both remote work and in-person collaboration. These ways of working are dependent on specific roles and are mutually agreed upon by employees. In the US we are mainly remote. In our APAC locations we have a hybrid in-office approach.
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Date Posted
05/17/2026
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