Senior AI Product Manager

We are looking for an experienced AI Product Manager who can operate at the intersection of product, technology, client engagement, and execution. This is a high-ownership, enterprise-facing role for someone who is excited by the opportunity to shape cutting-edge AI applications, work directly with international clients, and translate complex business problems into scalable AI-enabled products.

The AI Product Manager will lead the definition, shaping, and execution of enterprise AI products and features for global clients. This role requires a rare mix of product judgment, AI fluency, consulting maturity, and hands-on problem solving. You will work closely with clients, engineering teams, designers, and delivery leaders to identify opportunities, define product direction, manage expectations, and bring AI-first solutions to life.

The ideal candidate understands how to apply GenAI and agentic patterns in enterprise contexts, is comfortable navigating ambiguity, and is hands-on enough to prototype ideas, validate concepts quickly, and sharpen requirements through action. This is not a purely roadmap or coordination role. We are looking for someone who can think strategically, engage credibly with clients, and get into the detail when needed.

Key Responsibilities

• Own the product definition and execution of enterprise AI applications, workflows, and features from discovery through release and adoption.
• Work directly with clients and internal stakeholders to identify business problems, frame opportunities, and convert them into clear product requirements and delivery plans.
• Shape AI-first user experiences, including copilots, assistants, agentic workflows, decision-support tools, and human-in-the-loop enterprise applications.
• Translate ambiguous business needs into structured product artifacts such as problem statements, user journeys, PRDs, acceptance criteria, prioritization frameworks, and release scope.
• Partner closely with engineering, UX, architecture, and delivery teams to ensure product intent is translated into practical, scalable solutions.
• Drive workshops, requirement discovery sessions, stakeholder reviews, demos, and alignment discussions with enterprise clients and senior stakeholders.
• Build lightweight prototypes, proof-of-concepts, and product mock flows using modern AI tools, no-code/low-code methods, vibe coding, and basic design/prototyping techniques where useful.
• Help define and refine AI use cases involving agents, orchestration, retrieval, workflow automation, and enterprise system integration.
• Maintain a sharp eye for detail across business requirements, product behavior, user experience, and delivery quality.
• Manage client expectations proactively by balancing ambition, technical feasibility, timelines, and delivery realities.
• Support value realization and account growth by identifying follow-on product opportunities, expansion areas, and innovation pathways within client accounts.
• Contribute to a product and delivery culture that values speed, clarity, experimentation, accountability, and customer impact.

What Success Looks Like in This Role

• Enterprise AI products and features are clearly defined, well-prioritized, and shipped with strong adoption potential.
• Clients see you as a credible product partner who understands both business value and execution constraints.
• Product requirements are crisp, actionable, and reduce ambiguity for delivery teams.
• AI use cases move beyond demos into usable workflows that solve real operational problems.
• Teams make faster, better decisions because product direction, scope, and trade-offs are well managed.
• Client confidence improves through strong communication, attention to detail, and disciplined expectation management.
• You help create momentum for account expansion by spotting practical product and AI opportunities that clients want to invest in.

Requirements

• • 7–14 years of experience in ProApplication formDesign the application form for this role.duct Management, Business Analysis, Consulting, Enterprise Software, Digital Products, or related technology roles.
  • Demonstrated experience working on software products, platforms, or enterprise applications in client-facing environments.
  • Good understanding of AI/ML and Generative AI concepts, with practical exposure to AI-enabled product design and delivery.
  • Exposure to building or shaping agent-based / agentic workflows or AI-dr…