About The Role

We’re splitting our Analytics & Reporting group into two focused teams: a Data Engineering team that owns data acquisition and the company-wide data platform, and an App team that owns everything our customers touch, including the data-serving APIs, the Analytics section of the Uberall platform, and the reports that turn location data into decisions.

We’re hiring the lead for the App team. You’ll be a player-coach: you’ll manage and grow a team of six engineers (3 backend, 2 frontend, 1 QA), partner daily with two Product Managers, a Designer, and a UX Researcher, and stay meaningfully hands-on. Roughly 20–30% of your time is spent on architecture, code reviews, and code. You’ll work as a peer to the Lead Data Engineer, with a close, explicit contract between your team’s customer-facing products and the data platform that feeds them.

This is a role for someone who has led before and still loves to build.

What you’ll own

Customer-facing data APIs: the public APIs enterprise customers use to access their data, and the microservices behind them.




The Analytics product: the Analytics section of the Uberall platform, including its frontend, filtering experience, and the APIs powering custom reports.
Customer reporting: the QuickSight reports our customers rely on, and the gold-layer datasets that feed them. Your team owns its data models end-to-end, built on the self-serve platform the Data Engineering team provides.
Production: you build it, you run it. Your team deploys and operates its own services (Kubernetes on AWS), owns its observability and SLOs, and runs its own on-call rotation. You lead the incident process.
The team: hiring, growth, 1:1s, delivery, and the engineering culture of a newly formed team. With one QA engineer among six, you’ll make quality everyone’s job.

What you’ll do in your first year

Stand up the App team as a healthy, autonomous unit: clear ownership, sustainable delivery cadence, and strong working relationships with Pro

📌 Lead Software Engineer — Analytics (Argentina)
🏢 Uberall
📍 Argentina