Principal PM Data and AI, Agent Workforce Platform

We are on a pivotal journey to develop a platform that radically changes the way customers use machine learning. Our Product team included talented people who design, develop and launch the product after understanding our user needs. We are responsible for the strategic vision of our product developing new features and evolving product improvements from ideation to implementation. We also build and lead mission-critical processes, develop data-driven approaches, and drive excellence deep into the product. Job Description: DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business — today and in the future. The Principal Product Manager, Data and AI, Agent Workforce Platform will support the organization in building foundational data management capabilities for Agentic AI. You will play a pivotal role in shaping DataRobot’s Agentic Workforce Platform, the most comprehensive lifecycle management platform to Build, Operate and Govern agents in any environment, be it cloud, on-premises, hybrid or airgapped. As part of this, you will be responsible for key Generative, Predictive and Agentic AI capabilities that drive differentiation of the Agent Workforce Platform. The Principal Product Manager, Data and AI 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. 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 also have experience with unstructured and structured data management capabilities like RAG systems, accessing data across various data stores and warehouses and preparing data at scale for AI, all while being agnostic to the environment, cloud, on-premises or airgapped.

Key Responsibilities:

• Lead technical discussions and be a thought leader during product reviews
• Integrate your technical knowledge, subject matter expertise and understanding market trends to make sound decisions and influence business direction through data-driven analysis.
• Responsible for defining product strategy, detailed requirements, and collaborating with engineering, customer success, and marketing to successfully launch the product.
• Develop and manage end-to-end product plans and work with stakeholders to ensure on-time delivery.
• Work closely with customers to ensure successful product adoption of product capabilities
• Articulate to stakeholders your team’s technology vision, requirements, goals and milestones.
• Provide hands-on leadership during analysis,...