Job Summary
AI Product Manager (Product Strategy & Management Role) - That drives product evolution through requirement gathering, understanding needs of client, and enable feature development in platforms and tools by working in tandem with engineering & solution architect.
Job Summary
Drive the vision, roadmap, and delivery of AI‑powered capabilities by defining clear problem statements, success metrics, and customer value. Partner closely with engineering, architecture, research, and go‑to‑market teams to build responsible, scalable products that enable measurable business outcomes and adoption across internal and external stakeholders.
Key Responsibilities
- Define product vision, strategy, and problem statements grounded in user workflows and measurable outcomes
- Create PRDs, user stories, acceptance criteria, and maintain a clear, prioritized backlog
- Lead release planning, stakeholder alignment, and cross‑functional decision‑making
- Work with architects and engineers to translate requirements into scalable AI/ML/GenAI capabilities
- Partner with GTM teams for enablement, adoption, usage analytics, and customer feedback loops
- Analyze data, telemetry, and experiments to guide prioritization and evaluate feature impact
- Ensure features meet responsible AI, compliance, security, and governance requirements
- Collaborate with research teams to shape model behavior, evaluation metrics, and iterative refinement
- Communicate progress, risks, and product insights across leadership and customer teams
Skill Requirements
- Product discovery, roadmap definition, and backlog/prioritization discipline
- Strong analytical and data‑driven decision‑making
- Clear stakeholder and cross‑functional communication skills
- Understanding of AI/ML/GenAI fundamentals, cloud platforms, and responsible AI principles
Other Requirements
Owns a product or major workstream end‑to‑end—defining vision, shaping requirements, aligning roadmap to KPIs, and collaborating across engineering, design, architecture, research, and GTM teams to drive adoption, measurable outcomes, and responsible AI integration.