---
title: 'Lead Software Engineer — Analytics & Reporting at Uberall'
canonical: 'https://feeny.ai/job/lead-software-engineer-analytics-reporting-uberall-brazil-67dmzcmcgw5b'
type: 'job'
last_seen: '2026-10-14'
---

# Lead Software Engineer — Analytics & Reporting at Uberall

- **Company:** Uberall
- **Location:** Brazil
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-09-10
- **Last confirmed live:** 2026-10-14
- **Apply:** https://jobs.ashbyhq.com/uberall/511ccf32-0292-4fb9-b895-47ca9e49ee92

## Job description

## 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 Product, Design, and the Data Engineering team.
- Co-own, from the application side, the in-flight migration of data pipelines out of our monolith and into the Data Engineering stack. Your backend engineers keep those pipelines running and hand them over cleanly, so your team can focus fully on APIs and product.
- Drive the modernization of our backend estate: the stack is consolidating on Kotlin, and legacy Groovy and Scala services need a pragmatic path forward.
- Shape the next chapter of Analytics: AI-assisted insights in the product, and exposing your team’s data and APIs for consumption by AI agents through the company’s data gateways.

## What we’re looking for

- 7+ years of software engineering experience, with deep backend expertise on the JVM (Kotlin strongly preferred; our stack: Kotlin, Spring Boot, Postgres).
- 2+ years leading an engineering team with genuine people responsibility (hiring, 1:1s, performance, and delivery) while staying hands-on.
- Experience designing, operating, and evolving microservices in production: Kubernetes, AWS, observability, SLOs, and incident management. You’ve run an on-call rotation, not just been on one.
- Strong SQL and analytical data modeling skills. Your team owns the datasets behind customer reports, and you can reason about them credibly.
- Experience with RESTful, service-oriented architectures serving external customers at scale.
- Enough frontend fluency (React, TypeScript) to lead frontend engineers well. You review their thinking, not their semicolons.
- Experience navigating legacy systems and migrations. You can modernize without stopping the world.
- Professional working English (read, write, speak) and comfort collaborating across a remote, distributed organization.

## Nice to have

- Experience with Groovy, Scala, or Python - the languages of our existing services.
- Experience with BI tooling (Amazon QuickSight or similar) and data warehouse platforms (Databricks, Snowflake, Redshift).
- Experience building LLM-powered product features or exposing data/APIs to AI agents.

## About Uberall

## Company Overview
- **One-liner**: Uberall provides an AI-powered multi-location marketing platform that helps brands manage their digital presence across search, social, maps, and AI discovery to drive local visibility, engagement, and revenue.
- **Entity Type**: Private (Growth Stage, €143M total funding)
- **Headquarters**: Berlin, Germany
- **Founded**: 2013
- **Founders**: David Federhen and Florian Hübner

## Core Business
- Primary industry: Software Development / Multi-Location Marketing Technology (MarTech)
- Target customers: B2B, serving multi-location brands (retail, hospitality, food & beverage, automotive) and global enterprises
- Mission or purpose statement: "Empowering Brands to Thrive Locally" — connecting online discovery with real-world experiences so local businesses and global brands can succeed everywhere customers search, shop, and connect.

## Products & Services
- **Listings Management**: Create, publish, and optimize business listings across 150+ directories (Google, Apple, voice search, AI-powered tools) to boost visibility and foot traffic.
- **Review Management**: Monitor, respond to, and improve reviews across all locations using AI for bulk replies, sentiment analysis, and reputation management.
- **GEO Studio**: A Generative Engine Optimization solution that helps brands provide the accuracy, trust signals, and local context AI needs to select their locations.
- **Locator & Local Pages**: SEO and GEO-optimized local pages with fast-loading, mobile-optimized experiences and built-in CTAs for directions, booking, and reviews.
- **Local Social**: AI-powered social media posting across Facebook, Instagram, LinkedIn, Google, and Apple to drive engagement and conversions.
- **Location Performance Optimization (LPO)**: AI-powered insights tracking search visibility, conversions, sentiment, competitor trends, and revenue impact.
- **UB-I (Agentic AI)**: An always-on AI agent that continuously monitors locations, identifies priorities, and orchestrates actions to boost visibility, engagement, and revenue.
- **Analytics**: Track and maximize local marketing performance with data-backed insights and growth opportunities.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (Private company)
- **Key Metric**: €143M total funding raised to date (as of company website); estimated annual revenue of $25.0M (per LinkedIn data)
- **Notable Investors/Partners**: Trusted by brands including KFC, Søstrene Grene, QPark, and Barceló. G2 Fall 2025 award winner for Best Support, Momentum Leader, Easiest Admin, and Easiest To Do Business With.
- **Growth Signals**: Manages over 1.3 million locations across 194 countries; 315 employees (+1.7% YoY growth); 9 prior funding rounds with $175.6M in total funding (per LinkedIn); expanding globally with offices in Germany, US, Philippines, Canada, and France.

## Competitive Advantages
- **First-mover in GEO (Generative Engine Optimization)**: Offers a dedicated solution (GEO Studio) to optimize for AI-driven search discovery, a rapidly growing market.
- **Comprehensive, All-in-One Platform**: Combines listings, reviews, social, local pages, analytics, and AI agents in a single platform — reducing the need for multiple vendors.
- **Agentic AI (UB-I)**: Differentiated by an always-on AI agent that proactively monitors and optimizes location performance, going beyond passive analytics.
- **Global Scale & Local Depth**: Manages over 1.3M locations in 194 countries, with deep local market expertise across retail, hospitality, F&B, and automotive.
- **Strong Brand Trust**: Recognized by G2 as a leader and trusted by major global brands.

## Strategic Focus
- **AI-First Innovation**: Deep investment in Generative Engine Optimization and Agentic AI (UB-I) to stay ahead of the shift toward AI-powered local discovery.
- **Global Expansion**: Continuing to grow presence across North America, Europe, and Asia-Pacific, with a distributed workforce spanning 30+ countries.
- **Platform Consolidation**: Positioning as the single platform for multi-location brands to manage all aspects of local digital presence, from listings to AI-driven optimization.
- **Customer Obsession**: Focus on delivering measurable ROI for clients through data-driven insights and automated actions.

## Why Work Here
- **Culture & Values**: Described as "truly human culture" with high performance, openness, collaboration, and authenticity. Values include "Be Customer Obsessed," "Be Bold & Drive Change," "Demonstrate Passion & Performance," and "Grow Together." Inclusion is a core operating principle, not just a program.
- **Remote/Hybrid Policy**: "Choice-First environment" — employees can work from global offices or remotely; coming to an office is not required. Offices available for collaboration.
- **Global & Diverse Team**: Over 400 Uberallers representing 50+ nationalities across 30+ countries.
- **Growth & Development**: Learning Grant program, Power Skills Academy, and Leadership Foundations for continuous development.
- **Compensation**: Competitive benefits tailored to local markets; Long-term incentive plans through Virtual Stock Option Plan (VSOP) and Equity Plan (ESOP) for all eligible employees.
- **Engineering Culture**: AI-first organization with a human approach to hiring. Encourages AI fluency and curiosity; values using AI to support, not replace, human work.
- **Hiring Process**: Transparent, respectful process with initial chat, team interviews, culture & values interview, and structured onboarding. Human-driven decision-making at every stage.

## Sources
1. [uberall.com - Careers Page](https://uberall.com/en-us/company/careers)
2. [uberall.com - About Us](https://uberall.com/en-us/company/about-us)
3. [uberall.com - Homepage](https://uberall.com/en-us)
4. [linkedin.com - Uberall Company Page](https://www.linkedin.com/company/get-uberall)
5. [cbinsights.com - Uberall Profile](https://www.cbinsights.com/company/uberallcom)

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