Principal Product Manager, DataRobot

• The ideal candidate will have a proven track record of breaking down complex problems into steps that enable customers to leverage their data and AI/ML to create business value
• The ideal candidate will have experience with taking customers from big data/data analytics workloads to AI/ML production in a hybrid cloud environment with restricted internet connectivity
• Have introduced radical new products (0 to 1) to end customers in previous roles that have dramatically changed market dynamics
• Knowledge of the AI/ML landscape for on-premises and cloud infrastructure, with the ability to shape strategy and engage with stakeholders
• 8 years experience in product management with technical products
• Bachelor’s degree
• Minimum 8 years experience as a technical product manager or managing delivery of technical capabilities

Desirable

• The Principal Product Manager, AI Platform will support the organization in building foundational capabilities to support deep learning and generative AI in DataRobot
• You will play a pivotal role in shaping the development and implementation of a Kubernetes-based platform for creating AI models and applications
• As part of this, you will also be responsible for programs that leverage these foundational capabilities across different departments within the company
• The Principal Product Manager, AI Platform will work closely with stakeholders across all parts of the business including Engineering, Product, GTM, Partners, Marketing Operations, and Customer Success teams to execute growth projects and new products and features
• Lead technical discussions and be a thought leader during product reviews
• Integrate your technical knowledge, subject matter expertise and understanding trends to make sound decisions and influence business direction through data-driven analysis
• Responsible for designing and executing process and strategy frameworks that facilitate product-related goal setting, decision making and business impact. Develop and manage end-to-end project plans and ensure on-time delivery
• Articulate to stakeholders your team’s technology vision, requirements, goals and milestones
• Provide hands-on program management during analysis, design, development, testing, implementation, and post implementation phases
• Own the execution of foundational infrastructure that would be used for creating machine learning (ML)/artificial intelligence workloads such as computer vision, NLP, speech/audio, or personalization