About the Role
DigitalOcean is seeking a Senior Product Manager - GenAI Platform to lead the development of its groundbreaking GenAI platform. The focus will be on creating the simplest, most accessible GenAI solution in the market, aiming to revolutionize the GenAI space with unparalleled simplicity, much like DigitalOcean did with cloud computing.
As a Senior Product Manager for GenAI, you will be part of a dynamic team shaping the future of AI. You will own the strategy and roadmap for the GenAI platform, driving solution delivery to existing and future users. This role requires staying ahead of industry trends and technologies to ensure the development of tools customers need now and in the future, guiding the next evolution of cloud computing at DigitalOcean.
What You’ll Do
- Drive Product Vision: Develop the product vision, strategy, and roadmap for the DigitalOcean GenAI platform, enabling users to easily build tailored AI applications using features like RAG, fine-tuning, and guardrails.
- Enable GenAI Application Building: Own the end-to-end customer experience for users building AI-powered applications, from model selection to deployment, simplifying the process of building and deploying GenAI applications tailored to specific use cases.
- Cross-Functional Collaboration: Serve as the liaison between design, engineering, marketing, and customer success teams, ensuring a cohesive product experience.
- Model and Feature Partnership Development: Manage and build partnerships with model providers and other innovators in the GenAI ecosystem to enhance the platform.
- Drive Data-Driven Decisions: Leverage product usage data, customer feedback, and industry trends to inform the product roadmap, using data to optimize user experience, feature development, and business outcomes.
- Go-to-Market Strategy & Execution: Develop launch plans and positioning for new features that make GenAI application development easier and more accessible.
- Monitor Performance & Iterate: Continuously monitor key metrics such as user adoption, feature usage, and customer satisfaction, using these insights to drive continuous iteration and improvement of the platform.
Key Metrics
- User Adoption & Retention: Measure the rate of adoption for features like RAG, fine-tuning, and application-building tools, tracking how these features impact user retention.
- Feature Utilization: Monitor the utilization of advanced tools to identify opportunities for further development.
- Platform Growth: Measure overall growth in user acquisition and active usage as a direct result of enhancements to key features.
- Time-to-Deployment: Track how quickly users can build and deploy GenAI applications using the platform, measuring improvements in user efficiency.
- Market Competitiveness: Benchmark product features and performance against key competitors in the GenAI space, tracking improvements in competitive standing and product differentiation.
Requirements
- 5-10 Years of Product Experience: Skilled in full product lifecycle management, from ideation to launch, with a focus on market-driven product decisions and iterative improvements.
- Cloud Experience: Strong understanding of cloud infrastructure, services, and architecture, with hands-on experience in cloud product development and deployment.
- Developer Platform Expertise: Background in building or managing platforms tailored to developers, emphasizing usability, APIs, integrations, and efficient developer workflows.
- GenAI Product Development: Hands-on experience in developing or managing products in the Generative AI space, including model management, prompt engineering, and supporting LLMOps or MLOps processes.