Product Owner

Responsibilities

• Own and manage the Pulse AI product backlog, ensuring alignment with product roadmap and business priorities
• Translate product strategy, customer requirements, and technical inputs into epics, user stories, acceptance criteria, and sprint-ready deliverables
• Prioritize features based on customer value, business impact, technical dependencies, and release commitments
• Partner closely with Engineering, Architecture, QA, DevOps, and Product Leadership to drive sprint planning, backlog grooming, release planning, and execution
• Create and maintain Product Requirement Documents (PRDs), functional specifications, workflows, release notes, and product documentation
• Define requirements for AI platform capabilities including GPU resource management, model inference, RAG pipelines, AI governance, observability, cost optimization, and multi-tenant platform features
• Collaborate with engineering teams to validate technical feasibility, resolve execution blockers, and ensure successful feature delivery
• Participate in customer discussions, product demonstrations, proof-of-concept activities, and stakeholder workshops to capture product feedback
• Track product KPIs, feature adoption, release quality, and operational metrics to continuously improve product delivery and user experience

Requirements

• Bachelor's degree in Computer Science, Engineering, Information Technology, or a related technical discipline
• 8–12 years of IT experience with at least 5 years as a Product Owner or Technical Product Manager
• Strong experience managing Agile product backlogs, sprint planning, and backlog grooming
• Proven ability to write high-quality user stories, acceptance criteria, and PRDs
• Good understanding of enterprise software platforms, cloud infrastructure, APIs, microservices, and distributed systems
• Exposure to AI/ML platforms, LLM applications, or enterprise AI platforms
• Experience working with Engineering, QA, DevOps, and Architecture teams
• Hands-on experience with Jira, Confluence, Azure DevOps, ClickUp, Miro, or Figma

Preferred Qualifications

• Experience working on AI infrastructure, GPU-based systems, or RAG pipelines
• Strong understanding of Kubernetes, containerized workloads, and CI/CD practices
• Experience with cloud platforms including AWS, Microsoft Azure, or Google Cloud Platform
• Exposure to NVIDIA AI Enterprise, NVIDIA NIM, or NeMo
• Certified Scrum Product Owner (CSPO) or PSPO certification
• Prior experience working in startup or high-growth product organizations

About the Company

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).