ATLAS INTELLIGENCE · MALAWI
Atlas Intelligence is a small team in Malawi building a learning decision intelligence system. We are early. We are serious. And we are looking for people who want to work on the kind of software that takes years to get right.
Machine learning, simulation, data engineering, backend, geospatial, and product engineering. This is where the intelligence system is built.
Finance, revenue, business development, partnerships, domain work, product, and brand. This is how the system reaches institutions and sustains itself.
Design, train, and operate the predictive models and fine-tuned systems that produce decision intelligence across operational domains.
Lead the methodological foundations of simulation, scenario reasoning, and decision support in Atlas.
Build the retrieval, preparation, and training pipelines that feed every model in Atlas.
Find the best ways to analyze operational data and turn it into the analytical foundations of Atlas intelligence.
Build the operational simulations that let Atlas explore scenarios before resources are committed.
Build the services, storage, and provenance systems that hold the Atlas platform together.
Build the mapping, routing, and geographic reasoning layer that underlies the Atlas operational picture.
Build the interfaces that make operational intelligence understandable and actionable.
Own the financial foundations of Atlas: planning, controls, reporting, and the capital strategy that lets us build infrastructure for the long term.
Own the commercial strategy of Atlas and build the revenue engine that sustains the company.
Build the pipeline of institutional clients and partners that Atlas needs to grow.
Build and maintain the institutional relationships that make Atlas deployments succeed.
Translate fuel logistics, depot operations, and corridor behaviour into models and intelligence Atlas can act on.
Own the shape of the Atlas platform and the decisions it supports.
Own how Atlas communicates, internally and externally, as the company grows.
Every application is read by the team that owns the role. We respond to every applicant, whether or not we are able to move forward.
If there is a fit, we will have one or two conversations, then a small piece of real work that you would do here. We pay for the work.
We do not run puzzle interviews. We do not ask for free take-home tests. We evaluate you on the kind of work the role actually involves.
If we say no, we tell you why. If you are close but not a fit for this role, we say so, and we keep your application on file for a future one.
If you do not hear back within two weeks, write again. Our inbox is small and we are deliberately slow at hiring, but we do not intend to leave anyone without an answer.
Atlas is not only software. We need people who understand the domains we build for, people who can design, people who can write, and people who can hold a long conversation with an institution without losing the thread of what they actually need.
If that is you, we would rather hear from you now than after the role is written. We read speculative applications, and we keep the good ones on file.
We begin with a focused engagement on one operational domain, proving traceable, explainable intelligence end to end, then scale the architecture across the wider network.
Define the domain, data sources, and decision owners.
Connect signals, calibrate models, stand up provenance.
Live intelligence, weekly briefings, capability transfer.
