Technical Product Owner

Job Title: Technical Product Owner Experience: 8+ Years Employment Type: Full-Time Working Hours: Onshore Overlap (7:00 PM 10:00 PM IST) Job Summary We are looking for an experienced Technical Product Owner to lead the execution and delivery of AI-powered digital products. The ideal candidate will bridge business and engineering teams by translating product vision into well-defined user stories, managing product backlogs, and ensuring high-quality delivery across agile teams. This role requires a strong technical understanding of APIs, cloud platforms, AI/LLM integrations, and RAG-based systems while driving agile execution, release planning, and cross-functional collaboration. Key ResponsibilitiesProduct Ownership & Agile Delivery Understand the product vision, objectives, roadmap, and feature priorities. Convert business requirements into clear, actionable user stories with detailed acceptance criteria. Own, maintain, prioritize, and continuously refine the product backlog in collaboration with the Product Manager. Validate completed features against business goals, user experience, AI performance, and technical expectations. Balance feature development, AI enhancements, technical debt, and defect resolution while maintaining delivery velocity. Lead Sprint Planning, Backlog Refinement, Sprint Reviews, and Retrospectives. Ensure development teams have clear priorities and well-defined requirements. Work closely with engineering, QA, design, and business stakeholders throughout the product lifecycle. Technical Program Management Coordinate release planning and deployment readiness with Product, Engineering, and Release Management teams. Identify, track, and proactively remove blockers across teams and dependencies. Monitor delivery metrics including velocity, burndown, throughput, and sprint predictability. Drive continuous improvement across agile delivery processes. Foster a collaborative, accountable, and self-organizing team culture. Ensure transparent communication of project status, risks, dependencies, and mitigation plans. Required Technical SkillsAPI & Integration Strong understanding of REST APIs and microservices architecture. Experience with OAuth authentication, API payloads, HTTP status codes, and service interactions. Ability to review API contracts, validate request/response flows, troubleshoot integration issues, and coordinate API versioning. Experience working with event-driven architectures and dependency mapping. Hands-on experience using API testing tools such as Postman, Swagger, and Insomnia. AI & Generative AI Familiarity with Large Language Models (LLMs) including OpenAI, Azure OpenAI, Anthropic, and Llama. Understanding of AI integration patterns, prompt workflows, model APIs, and AI safety considerations. Knowledge of Retrieval-Augmented Generation (RAG) concepts and AI-powered product development. Data & Systems Ability to analyze structured and unstructured data for troubleshooting and validation. Experience reviewing application logs and RAG retrieval traces. Working knowledge of SQL for reading and interpreting queries. Understanding of data models, schema mapping, metadata management, and data validation. Familiarity with content ingestion pipelines and data freshness concepts within AI systems. Cloud & Delivery Tools High-level working knowledge of Microsoft Azure. Experience with agile delivery tools such as Aha and Rally. Familiarity with Agile, Scrum, and product delivery best practices. Required Qualifications Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field. 8+ years of experience as a Technical Product Owner, Technical Business Analyst, Product Manager, or similar role. Experience working with Agile/Scrum software development teams. Strong understanding of software development lifecycle (SDLC), cloud-based applications, APIs, and enterprise systems. Experience delivering AI, ML, or Generative AI products is highly preferred. Excellent stakeholder management and cross-functional leadership skills. Preferred Skills Experience with Azure-based applications and cloud services. Knowledge of enterprise integration patterns and distributed systems. Familiarity with CI/CD pipelines and modern software delivery practices. Experience working on AI platforms, conversational AI, or intelligent automation products. Exposure to analytics dashboards and delivery reporting. Soft Skills & Working Style Ownership mindset with end-to-end accountability. Proactive problem-solving and risk identification. Strong analytical and structured thinking abilities. Fast learner with curiosity toward emerging AI technologies. Exceptional attention to detail and execution discipline. Excellent verbal and written communication skills. Strong collaboration and stakeholder management capabilities. Ability to simplify complex technical concepts for .