DigitalOcean is looking to define a compelling new product in the AI/ML infrastructure space and partner deeply with an engineering team to make it a reality for customers, specifically in the area of Large Language Model (LLM) hosting, serving, and optimization.
Requirements
- 10+ years of product management experience with a focus on AI/ML (ideally LLM) services, cloud platforms, or infrastructure products
- Strong technical depth - you understand modern AI/ML technologies (particularly those related to LLM hosting and inference)
- Experience researching, evaluating, and building with open source technologies
- Experience with various GPU platforms from AMD and NVIDIA and associated toolsets for tuning, configuring, and accelerating AI/ML workloads on them
- Experience with LLM hosting tools and frameworks (e.g., vLLM, llm-d) would be ideal, but not required
- Data-informed and outcomes-oriented, comfortable using metrics and analytics to inform decisions and measure success
- Strong intuition for simple and clean user experience in complex environments
Responsibilities
- Define and own the product vision, roadmap, and success metrics for our net new LLM inference product
- 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
Other
- Bachelor's degree in a technical or business field (e.g., Computer Science, Engineering, Economics); advanced degree is a plus but not required
- 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
- 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
- Ability to work remotely
