Uberall

Location: Argentina; Brazil Workplace: Remote We're looking for an experienced and strategic Senior Data Analyst to join Uberall's product team. In this role, you’ll be at the heart of product decision-making, working closely with product managers on how we measure each product, whether launches work, and what the data tells us. Your skills in distilling complex data into meaningful narratives will be instrumental in supporting our growth and product innovation. If you’re passionate about using data to tell compelling stories, enjoy structuring insights that influence product decisions, and thrive in a collaborative environment, this could be the perfect role for you. Join us in creating exceptional experiences for our clients and helping shape the future of our products. Apply today to make a tangible impact with your data expertise! Your Responsibilities: - Build and maintain well-documented product data models in dbt, working within the BI team's shared standards and review process. - Act as the analytics point of contact for the Product data domain, working with domain owners and data partners to keep metric definitions and standards consistent across the company. - Build and maintain dashboards and reports that give product managers a clear, self-serve view of how their products are performing. - Define and monitor key product performance metrics with stakeholders, focusing on areas such as acquisition, retention, monetization, and adoption to drive product and business insights. - Collaborate with product managers, engineers, and cross-functional teams to prioritize features and drive a data-informed product roadmap. - Create clear, concise stories from data analyses, presenting findings to technical and non-technical audiences to inform product decisions and strategy. - Conduct in-depth analyses of user behavior, feature usage, and A/B test results to evaluate product changes and measure their impact on user engagement, retention, and revenue. - Analyze product usage trends to define activation metrics that increase customer lifetime value (LTV), and contribute product usage signals to churn prediction alongside data and Customer Success partners. - Shape the product analytics roadmap together with product managers, prioritizing the questions that matter most for each product area. - Mentor and support team members, promoting best practices in data analysis and effective communication across the organization. - Use AI-powered analytics tools and agentic workflows (LLM assistants, automations, AI product tracking) on top of our shared data platform to scale self-serve insights for product teams. Your Profile: - 5+ years of experience in data analysis, ideally with experience in or close collaboration with product teams in a SaaS or technology environment. - Advanced skills in BI and product analytics tools (e.g. Metabase, Pendo), and comfortable picking the right tool for each question. - Strong command of SQL, with the ability to create and optimize complex queries on large datasets. - Solid experience in data modelling (e.g. dimensional modelling, dbt or similar), designing clean, documented and reusable models that act as the single source of truth for product metrics. - Hands-on experience using AI tools (e.g. coding assistants, LLM-powered analytics) to accelerate query and model development, automate repetitive work and speed up insight generation, while keeping a critical eye on accuracy. - Proven ability to translate complex data insights into clear, actionable recommendations for cross-functional teams. - Hands-on experience with adoption analysis, A/B testing frameworks and statistical analysis, with a solid foundation in designing and analyzing experiments. - Proven experience in establishing and tracking core product metrics and driving insights that influence product development and growth initiatives. - Exceptional communication and presentation skills, adept at engaging and aligning stakeholders at all levels. - Highly organized, with strong prioritization skills to manage multiple projects and deadlines. - Comfortable working both independently and collaboratively in a dynamic, fast-paced environment. - Fluency in English is required; additional language skills are a plus.

Location: Spain Workplace: Remote If you want to boost your Tech Sales career - this is the place to be! In this role, you will join our growing global SDR team where you will focus on the mid-market or Enterprise segment within the UK&I market. We will help you lay the foundation for a successful sales career. As a bonus: from day 1 you will already have great earning potential. Your responsibilities: - You are part of the global customer organization and support in further expanding our market leadership. - You act as the most important link between the marketing and sales department and you are in constant contact with customers, be it by phone, email, or social selling tools. - You will communicate Uberall's value proposition to target accounts and develop new business opportunities with significant long-term revenue potential. - You will conduct thorough company-specific research to identify use cases and to understand how Uberall offers added value to our customers. - You collaborate with marketing and sales to constantly improve the messaging we use and improve the performance of the team. - You will schedule highly qualified meetings with identified target accounts for Account Executives to build a pipeline. - You keep meticulous notes to track our engagement with prospective customers, using Salesforce and other sales tools. Your profile: - You have native-level English communication skills (written & verbal) - You have grit and your desire for success motivates you to achieve your goals. - You have an engaging and confident personality and enjoy the challenge of presenting new ideas and concepts. - Ability to think strategically and analytically. - You have strong time management skills. - You can work in a structured and professional manner. - You are a team player who enjoys working with others and the friendly competition that is created by everyone wanting to be the highest ach

Location: USA; Canada Workplace: Remote ABOUT THE ROLE Uberall is looking for an Enterprise Account Executive who is responsible for new customer acquisition in the USA. We need an experienced salesperson who has a consultative sales approach, a successful track record of driving new customer acquisition, and polished presentation skills. You will ultimately be responsible for your own success within North America, ensuring significant new logo acquisition while providing the best sales experience possible for our customers. YOUR RESPONSIBILITIES - Develop and nurture relationships within new accounts in your territory. - Lead an enterprise engagement process that is based on MEDDPICC (MEDDIC) and champion-based selling to enterprise-scale, multi-location organizations. - Manage complex sales cycles, an adaptation of tendering processes, and take major responsibility in extensive contract negotiations with users, influencers, and decision-makers at the CxO management level. - Exceed monthly/quarterly sales targets by driving new opportunities from the beginning of a sales cycle through to customer implementation & onboarding. - Devise solutions alongside solutions engineers that align with the customer’s product needs and business priorities. - Generate short-term results while maintaining a long-term perspective to improve overall revenue generation. - Partner with Sales Development, Solution Engineering, and Customer Success assigned to your territory to prioritize opportunities and apply appropriate resources. - Exceed activity, pipeline, and revenue goals on a quarterly basis. - Track all opportunity and customer details, including use case, purchase time frames, next steps, and forecasting in Salesforce. - Utilize the plethora of sales enablement resources at your disposal to follow a best-practice sales process. - Quickly onboard with on-demand and designated training resources to become an expert in the market, our solutions, and the needs of prospective customers. YOUR PROFILE - Extensive experience selling to VP and C-level executives5+ years of SaaS selling experience - Knowledge of digital marketing or a strong interest in the field - Track record of success selling into enterprise companies - Consistent, demonstrable over-delivery on quarterly and annual quotas - Experience managing and closing complex sales cycles from prospecting to signing using solution-selling techniques - Strong interpersonal and presentation skills - Outstanding verbal and written communication skills in English - Team-selling experience is a plus - Willingness to travel as required to achieve results

Location: Hungary; Armenia; North Macedonia Workplace: Remote 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.

Location: Canada Workplace: Remote ABOUT THE ROLE Reporting to the CTO, we are seeking a highly motivated, entrepreneurial and experienced Senior Director of Product to help drive our AI and Growth initiatives at Uberall. In this role, you will be responsible for ideating, defining and executing the product strategy to drive adoption of AI features within Uberall, create new exciting products in the expanding AEO/GEO (AI Search) space and improve overall growth & retention of Uberall’s customer base. You will lead a team of global product managers, collaborate cross-functionally across other leaders within Uberall and work closely with senior leadership to achieve our ambitious growth objectives. YOUR RESPONSIBILITIES - Develop and Execute Product Strategy: Define and drive the product roadmap for AI-powered features, AEO/GEO features and growth initiatives, aligning with Uberall's overall business objectives. - Identify Growth Opportunities: Analyze market trends, customer data, and competitive landscape to identify new opportunities for growth and innovation. - AI Innovation: Lead the exploration and implementation of cutting-edge AI technologies for our product set to enhance user experience, automate processes and drive growth. - Drive Product-Led Sales & Growth: Implement strategies to leverage the product itself as a primary driver of user acquisition, activation, retention & expansion. - Drive AI-Native Product Management: Uberall is at the forefront of adapting and utilizing AI tools to drive Ideation, Product Discovery and Validation. We are looking for someone who has already been diving into Vibe-Coding and using AI to drive Product Discovery. - Team Leadership: Manage and mentor a team of product managers, fostering a culture of innovation, AI-Native approaches, collaboration and accountability. - Cross-functional Collaboration: Work closely with engineering, design, marketing, sales and customer success teams to ensure seamless execution and delivery of product initiatives. - Data-Driven Decision Making: Establish and track key metrics to measure the success of product initiatives, using data to inform decision-making and optimize performance. - Stakeholder Management: Communicate product vision, strategy, and progress to senior leadership and other stakeholders. KNOWLEDGE, SKILLS AND EXPERIENCE - Bachelor's degree in a relevant field; advanced degree preferred. - 10+ years of experience in product management, focusing on growth and strategy, leveraging true AI capabilities over the past few years. - Proven track record of successfully launching and scaling products that drive significant user growth and engagement. - Deep understanding of AI technologies and their application in a SaaS environment. - Strong analytical and problem-solving skills, with the ability to use data to drive decision-making. - Excellent communication and presentation skills, with the ability to influence and persuade stakeholders at all levels. - Experience leading and managing high-performing product teams. - Strong understanding of SaaS business models and growth strategies. - Experience within MarTech is a plus. PERSONAL ATTRIBUTES - Strategic thinker with a passion for innovation and growth. - Customer-centric mindset with a focus on delivering exceptional user experiences. - Aligned to Uberall’s core values. - Able to meet and demonstrate Uberall’s Leadership Expectations at the appropriate level.

Location: Brazil; Argentina; Honduras Workplace: Remote 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.