---
title: 'Lead (Backend) Software Engineer at Uberall'
canonical: 'https://feeny.ai/job/lead-backend-software-engineer-uberall-hungary-nmqrys0m2x91'
type: 'job'
last_seen: '2026-10-14'
---

# Lead (Backend) Software Engineer at Uberall

- **Company:** Uberall
- **Location:** Hungary
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-10-02
- **Last confirmed live:** 2026-10-14
- **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 take on a hybrid role that combines people management with hands-on engineering. You will be responsible for the growth and effectiveness of the team, and you will also write code, review pull requests, and shape technical designs alongside them. On this team, leads stay close to the work. Hands-on contribution is a core part of the role, not something you step back from as the team grows. 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.

## Your Responsibilities

People leadership

- Lead and develop the GEO backend team. This covers hiring, regular 1:1s, performance conversations, and supporting each engineer’s growth.
- Own delivery with Product. Shape priorities, make sure commitments are realistic, and remove blockers so the team ships steadily.
- Build the engineering culture of the team: shared standards, constructive code reviews, knowledge sharing, and collective ownership of quality.

Hands-on engineering

- Contribute regularly to design, code, and reviews as an active member of the team, not only as a reviewer or approver.
- 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

Must have

- Proven experience leading an engineering team with genuine people responsibility (hiring, 1:1s, performance, and delivery) while continuing to contribute code and technical design.
- Motivation to stay hands-on as a lead, balancing management responsibilities with regular engineering work.
- Strong proficiency in Kotlin or Groovy; proven coding skills in other JVM languages (such as Java or Scala) are a plus.
- Solid experience with our core stack and architecture: Spring Boot, Hibernate, JUnit, MySQL, Elasticsearch, Docker, AWS and OpenAPI, applied within microservice and event-driven systems.
- 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.

## Nice to have

- Experience with Python and LLM orchestration frameworks such as LangChain or LangGraph.
- Experience with prompt management, retrieval-augmented generation, embeddings, vector search, or LLM evaluation frameworks.

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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- [Enterprise Account Executive - North America](https://feeny.ai/job/enterprise-account-executive-north-america-uberall-united-states-pkj8ssnspa4z) — United States
- [Data Operations Specialist](https://feeny.ai/job/data-operations-specialist-uberall-philippines-22y6eh7rpqfs) — Philippines
- [Senior Backend Engineer](https://feeny.ai/job/senior-backend-engineer-uberall-brazil-ghk5kaqfr8k2) — Brazil
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