Senior Product Manager, DataRobot

• Proven experience (5+ years) in a technical product management role, preferably with a focus on IaaS, PaaS, cloud infrastructure, or distributed compute products
• Strong technical background with a deep understanding of compute, networking, storage, and the software that orchestrates it. You are comfortable discussing the merits of different CPU/GPU architectures, job schedulers, and distributed systems
• Familiarity with the AI/ML landscape and the unique infrastructure requirements for large-scale training and inference workloads
• 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
• Bachelor’s degree in Computer Science, Engineering, or a related technical field

Desirable

• We are seeking a skilled and passionate Senior Product Manager for AI Compute. In this role, you will be crucial in driving the vision, strategy, and execution for the full stack of computing resources that power agentic AI at DataRobot. Your mission is to deliver a world-class distributed compute platform that enables our customers to tackle complex challenges, from large-scale model training to low-latency inference for sophisticated AI agents
• This role is pivotal in defining the future of AI infrastructure at DataRobot. You will own the roadmap for our compute offerings, ensuring they are cost-effective, performant, and equipped with the latest technologies
• You will work closely with our engineering teams and strategic partners to deliver a seamless experience that abstracts away the complexity of underlying hardware and orchestration, allowing users to focus on building breakthrough AI solutions
• Product Vision & Strategy: Own and articulate the vision, strategy, and product roadmap for DataRobot's core compute platform, encompassing general-purpose compute, specialized distributed compute for AI model training, and low-latency inference serving for agentic AI applications
• Lifecycle Management: Manage the entire product life cycle from strategic planning to tactical execution, including defining requirements, setting priorities, and working with engineering to deliver new compute capabilities
• Infrastructure & Hardware Expertise: Define and manage a portfolio of compute offerings across various architectures (e.g., NVIDIA Blackwell, AMD Zen5, ARM Neoverse) and hyperscale providers (AWS, Azure, GCP, Oracle Cloud)
• Distributed Compute Orchestration: Drive the strategy for our distributed workflow and job scheduling layer, evaluating and integrating technologies such as Covalent, Ray, Slurm, NVIDIA run:ai, Volcano, and Kueue to optimize for performance, cost, and user experience for large-scale AI workloads
• AI Inference Optimization: Lead the product strategy for our ML inference serving technologies, incorporating cutting-edge solutions like NVIDIA Dynamo and Ray Serve to ensure low-latency, high-throughput model deployment for real-time agentic systems
• Customer & Market Analysis: Engage deeply with internal and external customers to understand their AI workload patterns, performance bottlenecks, and future needs. Translate these insights into actionable product requirements
• Stakeholder & Partner Management: Work closely with stakeholders across Engineering, Product, GTM, and Customer Success. Collaborate with key technology partners like NVIDIA, AMD, Intel, and major cloud providers to align roadmaps and bring new innovations to the platform
• Future Technologies: Stay abreast of emerging trends in computing and explore the potential integration of future technologies, including quantum computing, into the DataRobot ecosystem