Sr Technical Product Owner/Product Mgr (Gen/Agentic AI Sol)

• Product Strategy & Intake: Partner with cross-functional business units to frame problems, evaluate feasibility, and discover high-value opportunities for generative AI application.
• Backlog & Execution Management: Define, manage, and prioritize the product backlog. Write clear feature requirements, user stories, and strict acceptance criteria.
• Solution Delivery & Adoption: Drive the end-to-end product lifecycle from proof-of-concept (PoC) to production release, ensuring high user adoption and clear business value alignment.
• KPI & Performance Tracking: Establish and monitor product success metrics, business KPIs, and technical evaluation standards to measure impact and continuous performance improvement.
• Governance & Risk Control: Partner with legal, compliance, and risk teams to ensure all solutions satisfy responsible AI principles, data privacy laws, and model-risk controls.
• Executive Communication: Present product roadmaps, project statuses, risks, and ROI metrics clearly to senior leadership and technical stakeholders.

• Product Management: Proven experience managing complex technical products in an agile environment.
• Backlog Management: Expertise in backlog grooming, user story creation, and release mapping using tools like Jira or Azure DevOps.
• Executive Communication: Ability to translate deep technical AI concepts into simple, business-oriented language for executive stakeholders.

Generative AI & Technical Expertise

• Agentic Solution Design: Conceptual understanding of designing autonomous, multi-agent AI systems, tool use (function calling), and complex reasoning workflows.
• LLMs and RAG: Deep familiarity with building applications using Large Language Models and Retrieval-Augmented Generation (RAG) architectures.
• Model Selection: Ability to evaluate and select the right model for the job (e.g., commercial vs. open-source, frontier models vs. task-specific fine-tuned models) based on cost, latency, and accuracy.
• Evaluation Metrics: Experience establishing evaluation frameworks for GenAI systems, leveraging both automated metrics (e.g., ROUGE, BLEU, RAGAS) and human-in-the-loop validation., * Bachelor s or Master’s degree in Computer Science, Data Science, Engineering, or a related technical field (or equivalent practical experience).
• 5+ years of software product management experience, with at least 2+ years dedicated to AI/ML or Generative AI products.
• Experience collaborating with enterprise data engineering and cloud infrastructure teams (AWS, Azure, or Google Cloud Platform).