Principal Product Manager

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Data Robot 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 aRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on Data Robot for AI that makes sense for their business — today and in the future.

• 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.

• 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.

• 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

We strive to attract and retain the best talent by providing competitive pay and benefits with our employees’ well-being at the core. Here’s what your benefits package may include depending on your location and local legal requirements:
Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more!

• 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
• Over communicate

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 Data Robot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our…