AI Product Support Specialist
Tech Pipeline
Date: 2 weeks ago
City: Abu Dhabi
Contract type: Full time
Remote
Tech Pipeline works to remove the operational drag that stops businesses from functioning efficiently. We are currently supporting a sovereign investment group as they integrate new automated tools into their existing financial workflows. As an AI Product Support Specialist, you will help manage the technical friction that occurs when these new systems meet legacy data structures. This is a fully remote position focused on ground truth and practical fixes rather than abstract strategy.
About the role
Our partner is a sovereign investment group that handles a high volume of complex data. When they introduce AI tools to categorize assets or route internal requests, the system sometimes fails to interpret specific data points correctly. This role is about finding those failures and fixing them. You will spend your time looking at why a routing rule did not trigger or why a reconciliation report does not match the source of truth. This is not a role for someone who wants to stay at a high level. You will be expected to open the system, read the logs, and trace problems to their specific origin. Since this is an entry level role, we do not expect you to have all the answers on day one, but we do expect you to be comfortable navigating through logs and documentation to find them.
What you will be doing
Tech Pipeline operates on the principle that if a system is built correctly, it should not need us forever. We are not interested in long term retainers or building dependency. We fix the specific problem, make sure it sticks, and move on. This means our work is highly focused and technical. We communicate primarily through weekly updates and clear documentation rather than sitting in calls all day. We value people who can work independently and who take pride in finding the specific routing rule or data gap that is causing a bottleneck. Because we are a fully remote team, we rely on each other to keep documentation current and to be honest about what the logs are actually telling us.
About the role
Our partner is a sovereign investment group that handles a high volume of complex data. When they introduce AI tools to categorize assets or route internal requests, the system sometimes fails to interpret specific data points correctly. This role is about finding those failures and fixing them. You will spend your time looking at why a routing rule did not trigger or why a reconciliation report does not match the source of truth. This is not a role for someone who wants to stay at a high level. You will be expected to open the system, read the logs, and trace problems to their specific origin. Since this is an entry level role, we do not expect you to have all the answers on day one, but we do expect you to be comfortable navigating through logs and documentation to find them.
What you will be doing
- Monitor daily backlogs in the automation pipeline to identify where data is getting stuck.
- Review AI-generated outputs for accuracy against established source of truth documents.
- Trace routing errors through system logs to identify specific logic gaps or integration failures.
- Update internal standard operating procedures (SOPs) as routing rules and system behaviors change.
- Perform manual reconciliations between financial systems to verify that the automated scripts are functioning correctly.
- Draft clear, technical reports for our developers when a recurring system bug is identified.
- Assist in the first month of live operations for new tools to ensure the client team can manage the system independently.
- Validate that data inputs are properly formatted before they enter the processing queue.
- A methodical approach to solving problems and a high level of attention to detail.
- Strong writing skills and the ability to explain technical problems in plain language.
- The ability to follow complex logic flows and identify where a sequence has been broken.
- Comfort working in a fully remote environment where clear written communication is essential.
- Basic familiarity with how data is organized in spreadsheets or simple database structures.
- A high degree of reliability and a habit of checking your work for errors before submitting it.
- Curiosity about how automated systems work behind the scenes.
- Previous experience in a data entry, customer support, or operations role.
- Basic exposure to scripting languages or SQL, even if only through personal projects or coursework.
- Studies in business operations, computer science, or a related field that requires analytical thinking.
- Experience with financial reporting or basic accounting principles.
- A fully remote working arrangement that allows for a flexible daily schedule.
- Competitive pay that is attractive for entry level roles in the technical support sector.
- Direct experience working on high stakes projects for a sovereign investment group.
- Mentorship from experienced technical operators who value directness and technical accuracy.
- The chance to build a career in AI operations without needing years of previous experience.
- A work environment that prioritizes deep work and documentation over constant meetings.
Tech Pipeline operates on the principle that if a system is built correctly, it should not need us forever. We are not interested in long term retainers or building dependency. We fix the specific problem, make sure it sticks, and move on. This means our work is highly focused and technical. We communicate primarily through weekly updates and clear documentation rather than sitting in calls all day. We value people who can work independently and who take pride in finding the specific routing rule or data gap that is causing a bottleneck. Because we are a fully remote team, we rely on each other to keep documentation current and to be honest about what the logs are actually telling us.
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