Product Owner

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.

Position Summary

The Product Owner is a highly execution-focused role responsible for driving the successful delivery of Gruve's next-generation AI infrastructure platform. Working closely with Product Leadership and Engineering, the Product Owner will translate product strategy, customer requirements, and platform roadmap into clear, prioritized engineering deliverables.

This role requires a strong blend of product ownership, technical understanding, and Agile execution to manage product backlogs, define user stories, and enable the development of enterprise AI platform capabilities across GPU infrastructure, AI control plane, observability, governance, multi-tenancy, and cloud-native services. The ideal candidate is a hands-on Product Owner who can bridge product vision and engineering execution while collaborating effectively with cross-functional teams across India and the US.

Key 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

Basic Qualifications

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, Technical Product Manager, or similar product ownership role

Strong experience managing Agile product backlogs, sprint planning, backlog grooming, and product delivery

Proven ability to write high-quality user stories, acceptance criteria, PRDs, functional specifications, and release documentation

Good understanding of enterprise software platforms, cloud infrastructure, APIs, microservices, and distributed systems

Exposure to AI/ML platforms, LLM applications, inference workflows, data pipelines, or enterprise AI platforms

Experience working closely with Engineering, QA, DevOps, and Architecture teams throughout the software development lifecycle

Strong communication and stakeholder management skills with the ability to work across technical and business teams

Hands-on experience with Jira, Confluence, Azure DevOps, ClickUp, Miro, Figma, or similar Agile product management tools

Strong analytical thinking and prioritization skills with the ability to balance customer needs, business goals, and technical constraints

Preferred Qualifications

Experience working on AI infrastructure, enterprise AI platforms, GPU-based systems, LLM applications, RAG pipelines, or AI platform products

Strong understanding of Kubernetes, containerized workloads, platform engineering, observability, DevOps, and CI/CD practices

Experience with cloud platforms including AWS, Microsoft Azure, or Google Cloud Platform

Exposure to NVIDIA AI Enterprise, NVIDIA NIM, NeMo, GPU Operator, or similar AI infrastructure technologies

Experience in enterprise infrastructure, data center technologies, managed services, cloud platforms, or cybersecurity products

Certified Scrum Product Owner (CSPO), PSPO, or equivalent Agile certification

Experience supporting customer demonstrations, Proof of Concepts (PoCs), solution workshops, or enterprise product rollouts

Prior experience working in startup or high-growth product organizations

Strong problem-solving mindset with the ability to drive execution in fast-paced, cross-functional environments

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.