AI Product Manager

We are looking for an AI Product Manager who can operate at the intersection of product, delivery, and enterprise transformation.

This role requires someone who understands how large enterprises function, can navigate complex stakeholder environments, and can identify where Generative AI, LAG/LLMs, and agentic workflows can drive meaningful business impact.

This is not a role for someone who simply layers AI on top of existing processes. We need someone who can step back, understand the underlying workflow, rethink it, and shape practical AI-led solutions that are aligned to enterprise realities.

Key Responsibilities

Understand enterprise workflows, pain points, and operating constraints

Translate business problems into clear AI product and solution opportunities

Work across business, client PMO, engineering, AI, and leadership stakeholders

Drive use case definition, requirements, prioritization, and execution planning

Manage timelines, dependencies, risks, and delivery rigor with high discipline

Operate confidently in enterprise environments with political maturity and clarity

Support client workshops, discovery discussions, solution shaping, and on-site execution

Ensure AI solutions are practical, scalable, and outcome-driven

What We’re Looking For

3+ years of experience in product/project, consulting, or transformation roles

Strong preference for candidates with a consulting or enterprise-facing background

Good understanding of how large organizations work, including governance, stakeholder alignment, and execution complexity

Strong understanding of LLMs, Generative AI, RAG, and agentic AI in enterprise use cases

Ability to rethink business processes rather than apply AI superficially

Strong stakeholder management, structured thinking, and communication skills

Highly disciplined in execution, follow-through, and timeline management

Preferred Background

Candidates from firms such as Deloitte, KPMG, EY, PwC, Accenture, or similar enterprise consulting environments will be preferred.