Staff Product Manager, PaaS

We are looking for a Staff Product Manager to lead our Data Analytics offerings and deliver amazing developer, data scientist, and data engineer experiences focusing on providing AI-led differentiated analytics capabilities while preserving our key values of simplicity and cost-effectiveness. 

As a Staff Product Manager at DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing and AI. You’ll collaborate closely with engineering, design, marketing, and customer teams to create innovative platform capabilities that make the data analytics cloud more accessible and powerful for growing teams and businesses. This is a high-impact role that requires fluency in the Data Analytics domain, deep technical understanding, product intuition, and a passion for solving real-world problems for developers. 

• Define and own the product vision, roadmap, and success metrics for AI-led analytics workloads.
• Collaborate closely with engineering and design to bring new features and experiences to market, focusing on developer simplicity, performance, and scalability.
• Engage with customers directly to gather feedback, and validate solutions and use these insights to guide product decisions and prioritize the roadmap.
• Analyze usage data, market trends, and competitive dynamics to identify opportunities and shape a product strategy that balances innovation with reliability.
• Write clear product requirements and specifications, ensuring alignment across teams and driving execution from concept through launch.
• Represent the product internally and externally, sharing the roadmap with stakeholders,supporting customer-facing teams, and enabling go-to-market success.
• Drive cross-functional alignment by communicating product goals, timelines, and rationale clearly and consistently across the company.
• Continuously iterate and improve existing features based on feedback, performance metrics, and strategic shifts.

• 10+ years of product management experience with a focus on cloud platforms, developer tools, or infrastructure products.
• Strong technical depth — you understand modern data warehouses, lakehouse architecture, iceberg, data catalog and metadata, and have fluency in how analytics applications are built at scale with best practices recommendations.
• Proven ability to build products for technical users, especially data scientists, data engineers and developers, with a strong intuition for user experience in complex environments.
• Track record of delivering high-impact products from concept to launch, including ownership of roadmaps, prioritization, and success metrics.
• Customer-focused mindset, with direct experience gathering insights and translating them into valuable product improvements.
• Excellent communication skills, with the ability to explain technical decisions to non-technical stakeholders and align diverse teams around a shared vision.
• Data-informed and outcomes-oriented, comfortable using metrics and analytics to inform decisions and measure success.
• Bachelor’s degree in a technical or business field (e.g., Computer Science, Engineering, Economics); advanced degree is a plus but not required.

• 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 $176,000 - $264,000 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. 
• We value diversity and inclusion. We are an equal-opportunity employer, and recognize that diversity of thought and background builds stronger teams and products to serve our customers. We approach diversity and inclusion seriously and thoughtfully. 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.

*This is a remote role

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