Principal Product Manager

DataRobot•Boston, MA

About The Position

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.

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related technical field.
Proven experience (8+ years) in a technical product management role, preferably with a focus on IaaS, PaaS, cloud infrastructure, or distributed compute products.
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, and the unique infrastructure requirements for large-scale training and inference workloads, with the ability to shape strategy and engage with stakeholders.
Strong technical background with a deep understanding of data preparation and management for AI, and AI systems themselves, whether it be Predictive, Generative or Agentic.
You are comfortable discussing the merits of different RAG systems, data preparation pipelines for structured and unstructured data, choices of Vector Databases, access management for RAG systems and so on.
Experience working directly with public cloud services (AWS EC2, GCP Compute Engine, Azure VMs).
Demonstrated ability to own and drive the product lifecycle for highly technical, developer-focused products.
Excellent communication skills, with the ability to articulate a complex technical vision to both technical and business stakeholders.

Nice To Haves

Experience with or a strong understanding of development, deployment and governance solutions for Agentic AI, and the different tradeoffs associated with solutions.
Experience with software in isolated, air-gapped, or otherwise network-restricted environments.
Master’s degree in Engineering, Data Science, or a related field.
MBA

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, design, development, testing, implementation, and post implementation phases.
Own the execution of foundational infrastructure and capabilities that would be used for creating and running Agentic AI workloads and the data systems needed to support those workloads.