Build the Actuarial OS for Global Trade.
We are solving the hardest data problem in logistics: establishing truth in a fragmented world. We need builders, not employees.
Ontological Mapping.
Map data from 50+ fragmented ERPs into a single Canonical Data Model without human intervention.
High-Scale Ingestion.
Process millions of shipment events in near real-time using AWS DynamoDB & EventBridge.
Causal AI.
Build the engine that simulates 'what if' business scenarios, moving beyond simple reporting.
High Equity. High Autonomy. Zero Bureaucracy.
We don't do standups. We don't do sprints. We ship.
Based in Dubai & India. Remote-first culture.
Note: All roles are 3–6 month contracts during the alpha phase.
Build the 'Brain' of Invariq. You will own the pipeline that turns chaotic logistics data into actuarial truth. Python, dbt, and Graph logic. No 'maintenance mode'—you are building the architecture from zero.
Own the entire frontend and API layer. You decide the architecture. Ship fast, break things, fix them faster. We need someone who can go from Figma to production in a day.
Turn raw logistics data into actionable insights. You will build dashboards, run analyses, and help clients understand their operational truth. Strong SQL and Python skills required. Experience with logistics/supply chain data is a plus.
Don't send a cover letter.
Send your GitHub and a project you've broken production with.
Email the Founder