---
title: 'Lead (Backend) Software Engineer at Uberall'
canonical: 'https://feeny.ai/job/lead-backend-software-engineer-uberall-hungary-v15kvw4rjmmw'
type: 'job'
last_seen: '2026-11-11'
---

# Lead (Backend) Software Engineer at Uberall

- **Company:** Uberall
- **Location:** Hungary
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-10-02
- **Last confirmed live:** 2026-11-11
- **Apply:** https://jobs.ashbyhq.com/Uberall/0c0326d6-ebab-42a6-81c0-d9e915544707

## Job description

## About the GEO Team

GEO stands for Generative Engine Optimization. The GEO team builds products that help multi-location brands understand and improve how they are represented, cited, and recommended across AI-powered search and answer engines such as ChatGPT, Gemini, Perplexity, and Google AI Overviews. We are building backend capabilities that collect and analyse signals from rapidly evolving AI platforms, measure brand visibility, and turn complex data into actionable recommendations for our customers.

## About the Role

As Backend Engineering Lead for Uberall’s GEO team, you will combine hands-on technical leadership with responsibility for the growth and effectiveness of the engineering team. You will shape the architecture behind our AI-search products, lead the delivery of new capabilities, and help the team navigate a fast-moving and technically ambiguous domain. Working closely with Product, Engineering, and other stakeholders, you will translate customer needs and emerging developments in generative AI into reliable, scalable, and maintainable backend solutions. Historically, our backend has been built on Groovy and Kotlin. Today we work AI-first, and much of our engineering work runs through AI-assisted development. As a result, we place far less weight on a specific stack than we used to. What matters is that you know your way around backend engineering and can apply sound judgment, whatever the language.

## Your Responsibilities

- Lead, develop, and grow the GEO engineering team, starting with two engineers and scaling as the product grows.
- Define how the team builds, reviews, evaluates, and ships, including how it uses AI-assisted development day to day.
- Guide the design and operation of backend systems that integrate with LLMs and AI-powered search platforms.
- Establish robust approaches for evaluating the quality and consistency of AI-generated results.
- Ensure that LLM-enabled capabilities are observable, testable, cost-efficient, and resilient to changing models and external providers.
- Help the team manage the particular challenges of generative AI systems, including non-deterministic behaviour, latency, rate limits, data quality, and graceful degradation.
- Stay informed about relevant developments in LLMs and AI search, assessing them pragmatically rather than adopting technology for its own sake.

## Your Profile

- Experience leading or mentoring engineers, whether as a tech lead or engineering manager, including hiring and developing team members.
- Solid backend engineering experience with at least one object-oriented language (for example, Java, Kotlin, Groovy, C#, or Python). Prior experience with Groovy or Kotlin is helpful but not required.
- Comfort working AI-first, using AI-assisted development as a core part of how you and your team build and ship.
- Hands-on experience building or operating production systems that use LLMs, generative AI, or AI-powered external services.
- An understanding of how to evaluate and monitor LLM-enabled features beyond traditional deterministic testing.
- Experience designing reliable integrations with third-party APIs and managing concerns such as cost, latency, rate limits, observability, and provider failure.
- The ability to distinguish between an effective AI use case and one better solved with conventional software.
- Experience with prompt management, retrieval-augmented generation, embeddings, vector search, or LLM evaluation frameworks is beneficial but not essential.
- No experience training foundation models is required; this is primarily a backend engineering and technical leadership role.

No experience training foundation models is required; this is a backend engineering and engineering leadership role.

## 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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