Product Owner

This is a fully remote position, open to applicants in United States.

📋 Description

• Define, articulate, and implement the product vision and roadmap for next-generation AI/ML initiatives.

• Prioritize agentic architectures and autonomous workflows.

• Manage and prioritize the innovation and research backlog.

• Evaluate breakthroughs in the generative AI ecosystem for potential integration into the core product suite.

• Translate AI/ML concepts into user stories, acceptance criteria, and technical specifications.

• Collaborate with system architects and software engineers to develop scalable, resilient, and secure architectures.

• Support deployment and iterative testing using CI/CD practices with GitHub Actions.

• Lead innovation initiatives from hypothesis formation and exploratory research through POC validation, production rollout, and adoption.

• Establish evaluation frameworks, benchmarks, and KPIs for model reliability, agent task completion, cost efficiency, and end-user impact.

• Collect quantitative and qualitative feedback to enhance prototypes and transition successful experiments into product offerings.

• Connect AI research, engineering, operations, and commercial leadership within SAFe.

• Map application landscapes, user workflows, data dependencies, and ownership structures to eliminate delivery roadblocks.

⛳️ Requirements

• 10–12 years of overall professional experience.

• Significant experience as a Product Owner, Technical Product Manager, or Product Lead overseeing advanced technical or data-centric products.

• Conceptual and practical expertise in Generative AI, LLMs, AI Agentic workflows, Agent Development Kits (ADKs), Claude Skills, RAG pipelines, vector search, and Knowledge Graph integration.

• Hands-on experience in Scaled Agile (SAFe) environments, including backlog grooming, sprint planning, PI planning, and dependency management.

• Strong understanding of Google Cloud Platform (GCP) and Kubernetes.

• Familiarity with GitHub Actions for CI/CD automation.

• Ability to participate in architectural discussions regarding data pipelines, API contracts, latency budgets, agent orchestrators, and model inference scaling.

• Demonstrated ability to convert executive strategy and data science research into actionable epics, features, and stories.

• Experience working with cross-functional technical and executive stakeholders.

🏝️ Benefits

• Exposure to working with Fortune 500 companies and innovative market disruptors.

• Access to the latest technologies related to artificial intelligence and machine learning, data, and cloud.

• Be part of an energetic team of highly dynamic and talented individuals.

• Opportunity to work at an AI-first digital transformation and engineering company.

• Exposure to cutting-edge AI/ML and cloud technologies.