DataRobot, Inc.
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.
Principal Product Manager, Data and AI, Agent Workforce Platform
You will support the organization in building foundational data management capabilities for Agentic AI. You will shape 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 air‑gapped. You will own key Generative, Predictive and Agentic AI capabilities that drive differentiation of the Agent Workforce Platform.
Key Responsibilities
Lead technical discussions and be a thought leader during product reviews. Integrate technical knowledge, subject matter expertise and market trends to make sound decisions and influence business direction through data‑driven analysis. Define product strategy, detailed requirements, and collaborate 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. 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 used for creating and running Agentic AI workloads and the data systems needed to support those workloads.
Requisite Education and Experience / Minimum Qualifications
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. Introduced radical new products (0 to 1) that 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. Strong technical background with deep understanding of data preparation and management for AI, and AI systems themselves, whether Predictive, Generative or Agentic. Comfortable discussing RAG systems, data preparation pipelines for structured and unstructured data, vector databases, and access management. 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 Have
Experience or strong understanding of development, deployment and governance solutions for Agentic AI and the 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.
Benefits
Competitive pay and benefits. Benefits may include Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more, depending on location and local legal requirements.
DataRobot Operating Principles
Wow Our Customers Set High Standards Be Better Than Yesterday Be Rigorous Assume Positive Intent Have the Tough Conversations Be Better Together Debate, Decide, Commit Deliver Results Overcommunicate
Research & Inclusion
Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box. We’d love to have a conversation with you and see if you might be a great fit.
Equal Employment Opportunity Statement
DataRobot is proud to be an Equal Employment Opportunity and Affidavit Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. All applicant data submitted is handled in accordance with our Applicant Privacy Policy.
Applicant Privacy Policy
All applicant data submitted is handled in accordance with our Applicant Privacy Policy.
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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.
Principal Product Manager, Data and AI, Agent Workforce Platform
You will support the organization in building foundational data management capabilities for Agentic AI. You will shape 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 air‑gapped. You will own key Generative, Predictive and Agentic AI capabilities that drive differentiation of the Agent Workforce Platform.
Key Responsibilities
Lead technical discussions and be a thought leader during product reviews. Integrate technical knowledge, subject matter expertise and market trends to make sound decisions and influence business direction through data‑driven analysis. Define product strategy, detailed requirements, and collaborate 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. 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 used for creating and running Agentic AI workloads and the data systems needed to support those workloads.
Requisite Education and Experience / Minimum Qualifications
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. Introduced radical new products (0 to 1) that 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. Strong technical background with deep understanding of data preparation and management for AI, and AI systems themselves, whether Predictive, Generative or Agentic. Comfortable discussing RAG systems, data preparation pipelines for structured and unstructured data, vector databases, and access management. 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 Have
Experience or strong understanding of development, deployment and governance solutions for Agentic AI and the 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.
Benefits
Competitive pay and benefits. Benefits may include Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more, depending on location and local legal requirements.
DataRobot Operating Principles
Wow Our Customers Set High Standards Be Better Than Yesterday Be Rigorous Assume Positive Intent Have the Tough Conversations Be Better Together Debate, Decide, Commit Deliver Results Overcommunicate
Research & Inclusion
Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box. We’d love to have a conversation with you and see if you might be a great fit.
Equal Employment Opportunity Statement
DataRobot is proud to be an Equal Employment Opportunity and Affidavit Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. All applicant data submitted is handled in accordance with our Applicant Privacy Policy.
Applicant Privacy Policy
All applicant data submitted is handled in accordance with our Applicant Privacy Policy.
#J-18808-Ljbffr