Director of Product Management, AI Inferencing

Gruve•Redwood City, CA

7d•$220,000 - $275,000

About The Position

As the Director of Product Management, AI Inferencing you will play a pivotal role in defining and delivering next-generation full-stack (hardware + software) datacenter solutions that combine innovative GPU platforms, high-speed networking, scalable storage, and advanced cooling technologies. You will help shape the future of AI infrastructure—supporting AI inference pipeline—by aligning customer needs with Gruve’s engineering innovation and operational capabilities. This role requires deep knowledge of the AI cloud software ecosystem—both public and on-premises—as well as the hardware that powers it. Success demands a blend of product leadership, market research, project coordination, and executive-level communication. You will lead through influence to develop and drive to market tightly integrated solutions built on. This is an opportunity to join an early-stage startup and play a key role in shaping and defining its product strategy.

Requirements

Bachelor’s degree in Computer Science or Computer/Electrical Engineering
7+ years of experience in product management and solutions architecture
Strong background in datacenter infrastructure (servers, networking, storage), AI platforms, or cloud-native environments
Demonstrated experience driving complex projects in cross-functional, matrixed organizations
Excellent presentation skills, with proficiency in PowerPoint and storytelling for executive and technical audiences
Ability to perform market research, competitive analysis, and customer engagement activities
High-level understanding of product lifecycle—from concept to launch

Nice To Haves

Experience with Supermicro/Dell/Lenovo hardware, AMD-based/NVIDIA-based/RTX-based AI infrastructure, Kubernetes, or cloud orchestration
Familiarity with Agile methodologies and product management tools (e.g., Jira, Clickup, Microsoft Project)
Prior experience in enterprise IT, datacenter design, or cloud infrastructure product development, network management
MBA or advanced degree in technical or business field.

Responsibilities

Product Strategy for Modern Data Centers: work with internal stakeholders and external partners to shape the product vision and contribute to its roadmap for cutting-edge datacenter solutions that integrate GPU-accelerated computing, high-speed networking and cooling building blocks.
Stay ahead of industry trends in AI hardware infrastructure, AI software trends, and the competitive offerings landscape.
Monitoring, Analytics & Optimization: Work with internal groups across the full stack to ensure it produces monitoring and analytic data specific to AI operations and inference, supporting future product, development, and operational decisions.
AI Inference and Data Workflow Enablement: Work closely with AI/ML customers to identify the latest trends in infrastructure requirements for AI inference, and data processing workloads.