GIS Project Manager (M/F)

Our IT department based in Bordeaux/Cestas is looking for a: AI GTM/CLM Project Manager Reporting to the IT Direction, you are the single point of entry for Artificial Intelligence needs within the Go-To-Market (GTM) and Contract Lifecycle Management (CLM) domains. You centralize, qualify, and, together with the Sales, Marketing, Service, Customer Success, RevOps, Legal, and Contract Management teams, you prioritize AI requests, then manage their transition from use case to scaling. You work in close collaboration with the Group's AI Factory team: you represent the business demand, value, and adoption, while the AI Factory provides engineering, platform, and industrialization capabilities. You thus guarantee consistency between GTM / CLM priorities and the Group's AI trajectory. A key player in aligning Business, Data, and IT challenges, you contribute to making AI a measurable lever for commercial performance and productivity, within a logic of continuous improvement.

YOUR tasks As an AI GTM & CLM project manager, you drive and scale AI use cases across the GTM and CLM ecosystem to generate business value and productivity gains. In this capacity, you are responsible for:

• Centralizing, qualifying, and prioritizing GTM / CLM AI requests, as the single point of contact for business units.
• Defining and maintaining the AI framework of the GTM / CLM ecosystem (Salesforce / Data Cloud / agent layer).
• Guaranteeing the availability and quality of data necessary for AI use cases (Customer 360, reliable lifecycle data).
• Industrializing use cases, from pilot to scaling, in collaboration with the AI Factory team.
• Ensuring value tracking (commercial performance, productivity, adoption) and the performance of AI use cases (ROI, adoption).
• Uniting and coordinating Business, IT, and Data stakeholders around the GTM / CLM AI trajectory.
• Collaborating with Data Stewards (RevOps), Data Quality & Master Data teams, and Data Engineers to align data quality with business needs and AI use cases.

PROFILE With a Master's degree (engineering school in computer science or equivalent university curriculum), you have proven experience in deploying AI solutions applied to commercial, CRM, Data, or CLM domains, ideally in an international and data-driven environment. You have a good understanding of RevOps / Sales / Service processes, a Data & Customer 360 culture, and knowledge of AI integration within a CRM ecosystem (Salesforce, Data Cloud). Accustomed to collaborative work with AI engineering teams (such as AI Factory), you know how to unite diverse stakeholders—Business, IT, and Data—around common objectives. You are recognized for your ability to manage and report on the progress of the subjects under your responsibility, to act as a relay for your manager, while demonstrating daily autonomy.

REQUIRED SKILLS

• Fluent English (international environment).
• AI / LLM applied to GTM/ CLM use cases.
• Good understanding of RevOps / Sales / Service processes.
• Good understanding of Contract Lifecycle Management processes.
• Data & Customer 360 culture.
• Integration of AI into a CRM ecosystem (Salesforce, Data Cloud).
• Cross-functional Business / IT / Data leadership.
• Ability to structure and industrialize AI use cases (from business scoping to scaling).

DESIRED

• Collaboration with an AI engineering team / AI Factory (MLOps, platform).
• Knowledge of the agent layer / GenAI and industrialization (pilot → scale).
• Sensitivity to value and adoption tracking (ROI, KPIs).