Forward Deployed Engineer

Forward Deployed Engineer

At Dexory, we believe that real-time data will revolutionise the logistics industry. We are building the ultimate data insights platform that provides companies with unprecedented access to their operations through autonomous data capture and digital twins.

As a Forward Deployed Engineer at Dexory, you will sit inside the engineering organisation as an intelligent interface layer between our various engineering teams. Dexory operates with a global fleet of autonomous robots, supported by a 24/7 first-line support team. The Forward Deployed Engineer sits above that layer, taking ownership of complex, ambiguous issues and driving them to resolution or to the right team. You will be one of Dexory’s first Forward Deployed Engineers, representing Dexory at the highest level in customer environments and helping to define how this function operates as we scale.

This is a technically demanding role for someone who is as comfortable spotting patterns across weeks of telemetry data as they are at supporting a new customer deployment on the ground. You will query data across logs, databases, and observability tooling, interpret point cloud scan data, and navigate Grafana, AWS, and a range of robotics-specific tooling to investigate issues and understand their root cause. Crucially, you will also use what you learn to improve things — identifying recurring failure modes, feeding structured insights back into the engineering teams, and raising the platform’s reliability across our global fleet. You will also support new customer deployments end-to-end, bridging WMS and network integration questions with robot operational and perception configuration requirements.

The right person is defined by their investigative instinct and technical curiosity, not their robotics or logistics background. Domain knowledge is built on the job through close collaboration with the engineering teams.

Key Responsibilities

• Cross-functional Triage & Investigation: Receive escalated issues from the first-line support team and investigate independently before routing to the relevant engineering teams. Query telemetry data, robot logs, AWS infrastructure, internal tooling and databases — including scan and point cloud data where relevant — to narrow the blast radius of a problem and form a view on root cause before pulling in specialist teams.
• Observability & Monitoring: Navigate Grafana dashboards and internal tooling to monitor fleet and site health. Build or extend dashboards and alerting that improve visibility into system performance across deployed sites. Use telemetry data proactively to identify issues before they surface as customer complaints.