DigitalOcean Logo

DigitalOcean

Staff Product Manager

Posted 5 Hours Ago
Be an Early Applicant
In-Office
Seattle, WA
186K-233K Annually
Senior level
In-Office
Seattle, WA
186K-233K Annually
Senior level
Lead strategy and execution for DigitalOcean's compute platform, defining roadmap for CPUs, virtualization, containers, and fleet optimization. Drive performance, reliability, cost optimization, competitive analysis, and cross-functional collaboration to deliver scalable compute offerings and improve infrastructure efficiency.
The summary above was generated by AI

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 seeking a Staff Product Manager, Compute Infrastructure and hardware to lead the strategy and execution of our core compute offerings. You will be responsible for defining the roadmap and driving innovation for our compute platform, ensuring we deliver powerful, reliable, and cost-effective solutions that meet the evolving needs of our customers. This role requires a solid understanding of the cloud computing landscape, including processor technologies, virtualization, and infrastructure optimization.

What You’ll Do:
  • Compute Platform Strategy: Develop and champion the long-term vision and strategy for DigitalOcean's compute platform. Define the roadmap for new compute offerings, features, and enhancements, aligning with overall company goals and customer needs.
  • Processor Roadmap Expertise: Stay ahead of the curve on processor technologies from Intel, AMD, ARM, and other vendors. Analyze performance benchmarks, cost-efficiency, and emerging trends to inform compute platform decisions.
  • Fleet Management and Utilization: Drive initiatives to optimize the efficiency and utilization of our compute infrastructure. Identify opportunities to reduce costs, improve performance, and maximize resource allocation.
  • Virtualization and Containerization: Deepen our expertise in virtualization and containerization technologies. Explore and evaluate new technologies to enhance our compute offerings and support evolving customer workloads.
  • Performance and Reliability: Champion efforts to ensure the performance, reliability, and scalability of our compute platform. Collaborate with engineering teams to address performance bottlenecks, improve system stability, and enhance the customer experience.
  • Cost Optimization: Identify and implement strategies to optimize the cost-efficiency of our compute infrastructure. Analyze pricing models, negotiate with vendors, and drive initiatives to reduce operational expenses.
  • Competitive Analysis: Continuously monitor the competitive landscape for compute offerings. Analyze competitor strengths and weaknesses to identify opportunities for differentiation and innovation.
  • Customer Collaboration: Engage with customers to understand their compute needs and gather feedback on our offerings. Incorporate customer insights into the product roadmap and prioritize features that deliver maximum value.
  • Cross-functional Leadership: Collaborate effectively with engineering, finance, marketing, and sales teams to ensure alignment on compute platform strategy and execution.
Key Metrics:
  • Compute Platform Growth: Track the growth and adoption of our compute offerings, including virtual machines, bare metal servers, and container services.
  • Infrastructure Efficiency: Monitor key metrics related to infrastructure utilization, cost per unit of compute, and operational efficiency
What You’ll Add to DigitalOcean:
  • 8+ Years of Product Management Experience: Proven track record in defining and launching successful compute infrastructure products, ideally within a cloud computing environment.
  • Compute Knowledge:
    • Strong understanding of CPU architectures (Intel, AMD, ARM), including microarchitectures, instruction sets, and performance characteristics.
    • Ability to translate the benefits of different CPU architectures to customer use cases and articulate the value proposition of each offering.
  • Datacenter Fundamentals: Familiarity with datacenter design principles, including rack layouts, power distribution, cooling systems, and networking infrastructure.
  • Cost Optimization:
    • Understanding of server component costs, including CPUs, memory, storage, and networking.
    • Ability to analyze and optimize the cost of compute infrastructure at scale.
  • Data-Driven Decision Making: Ability to analyze data, derive insights, and make informed decisions to drive product strategy and execution.
  • Leadership and Collaboration: Excellent communication and interpersonal skills with the ability to lead and influence cross-functional teams.
Compensation Range: 
  • $186,400.00 - $233,000.00

*This is a hybrid role

JR: 2026-8061

#LI-Hybrid

Why You’ll Like Working for DigitalOcean
  • 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 10,000+ 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.

Similar Jobs at DigitalOcean

6 Days Ago
In-Office
160K-199K Annually
Senior level
160K-199K Annually
Senior level
Artificial Intelligence • Cloud • Software • Infrastructure as a Service (IaaS)
Lead product strategy and delivery for customer-facing security and identity capabilities. Define roadmaps, translate complex IAM problems into developer-friendly console and API experiences, work with engineering to shape architecture, engage customers for discovery, and drive cross-functional launches and iteration to improve adoption and reduce security risk.
Top Skills: Api TokensAPIsAuthenticationAuthorizationCi/CdClaudeCloud ArchitecturesCursorDistributed SystemsFigmaMachine/Agent IdentityOpenid Connect (Oidc)RbacService AccountsWorkload Identity
8 Days Ago
In-Office
186K-233K Annually
Senior level
186K-233K Annually
Senior level
Artificial Intelligence • Cloud • Software • Infrastructure as a Service (IaaS)
Lead multi-year product strategy and roadmap for DigitalOcean's Data and AI platform. Own development of vector databases, knowledge bases, Iceberg-supported data primitives, and integrations for RAG and AI agents. Drive cross-functional execution, pricing, capacity planning, and customer-driven feature prioritization; measure utilization, reliability, and deployment velocity.
Top Skills: Ai AgentsApache IcebergCloudData Lake ArchitecturesKnowledge BasesManaged DatabasesMcp IntegrationsRagSQLVector DatabasesVector Embeddings
13 Days Ago
In-Office
186K-233K Annually
Senior level
186K-233K Annually
Senior level
Artificial Intelligence • Cloud • Software • Infrastructure as a Service (IaaS)
The Staff AI Product Manager will drive product strategy for GPU offerings, conduct market analysis, collaborate with teams for product development, and advocate for customer needs. Responsible for managing product lifecycle and utilizing data-driven approaches for product success.
Top Skills: AIConfluenceGpuHpcJIRAMl

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account