About Gruve
Gruve is an innovative software services startup dedicated to transforming enterprises to AI powerhouses. We specialize in cybersecurity, customer experience, cloud infrastructure, and advanced technologies such as Large Language Models (LLMs). Our mission is to assist our customers in their business strategies utilizing their data to make more intelligent decisions. As a well-funded early-stage startup, Gruve offers a dynamic environment with strong customer and partner networks.
About the Role
As an AI Inference Data Center Product Manager, 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.
Key Responsibilities
- Product Strategy for Modern Datacenters 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.
Basic Qualifications
- Bachelor’s degree in Computer Science or Computer/Electrical Engineering
- 5+ 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
Preferred Qualifications
- Experience with Supermicro 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.
Salary Range
$162,000 - $182,000 USD+ Benefits
Why Gruve
At Gruve, we foster a culture of innovation, collaboration, and continuous learning. We are committed to building a diverse and inclusive workplace where everyone can thrive and contribute their best work. If you’re passionate about technology and eager to make an impact, we’d love to hear from you.
Gruve is an equal opportunity employer. We welcome applicants from all backgrounds and thank all who apply; however, only those selected for an interview will be contacted.