Cameras, sensors and reports say a lot, and almost nobody reads them in time. You analyze the situation in the field, separate what matters from the noise and turn it into an alert a person can sign.
The role
- Analyze field situations using what cameras, sensors and people report.
- Define risk patterns and which alert should go out, to whom and with what proof.
- Review the platform's alerts: which ones helped and which were noise.
- Prepare the analysis the client's decision maker reads.
Your first 90 days
- Day 30
You learn the platform and the alerts it already produces for real clients.
- Day 60
You own the analysis of a complete operation, reviewed by the team.
- Day 90
Your risk patterns run on the platform and you can measure whether they helped.
Stack and tools
Nuvnext platformComputer visionSatellite maps
What we look for
Must have
- Experience in security analysis, operational intelligence, monitoring or civil protection.
- You organize incomplete information and reach a defensible conclusion.
- You can tell a fact from an assumption, and you say so.
- Strict respect for privacy and the law.
Nice to have
- Having worked in a command or monitoring center.
- Deep handling of data and spreadsheets.
What working here is like
What you build goes into products that operate real organizations. You work directly with the founders, with no layers between your code and production, under the same rule we give the intelligence: a person signs what is critical.