Tech Pipeline is currently assisting a major financial services provider headquartered with improving their internal processing systems. We specialize in fixing operational drag where data goes bad or processes get stuck. Our AI Product Support Specialist will focus on identifying and resolving friction points within these systems to keep work moving smoothly.

About the role
Companies often have tools that do not quite talk to each other, leading to backlogs and manual work. In this role, you will be on the front lines of maintaining an AI-aided workflow for our financial services client. You will not be focused on high-level theory or broad research. Instead, you will look at why a specific file failed to process, why a routing rule sent a request to the wrong team, or why a model output requires a manual correction. It is a permanent, full-time remote position that requires a sharp eye for detail and the ability to trace problems back to their source of truth in the system.

What you will be doing




- Monitor incoming data flows to ensure AI models are categorizing and routing documents correctly.
- Review system logs and error reports to identify where processes are stalling or failing.
- Manually intervene in backlogs to resolve exceptions that the automated system cannot handle.
- Update internal documentation and SOPs as you discover new edge cases in the data.
- Communicate with internal operators to understand where they are experiencing friction in their daily tasks.
- Perform regular reconciliations to ensure that the system output matches the expected financial records.
- Run basic scripts or queries to pull performance reports for the operations team.
- Contribute to the upkeep of our knowledge base by documenting specific fixes and routing rules.

What we need from you
- Strong analytical skills with a focus on finding the ground truth in messy datasets.
- The ability to write clearly and explain technical issues to team members without being wordy.
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📌 AI Product Support Specialist (Madrid)
🏢 Tech Pipeline
📍 Madrid