Jobs at Uberall North America

Acquire enterprise customers across North America by developing executive relationships, managing complex MEDDPICC-based sales cycles, negotiating contracts, exceeding quotas, and accurately forecasting opportunities in Salesforce. Partner with sales development, solution engineering, and customer success teams to align solutions with customer needs, support implementation and onboarding, and drive both short-term revenue and long-term growth.

Lead backend engineering for GEO products that analyze and improve brand visibility across AI-powered search platforms. Responsibilities include architecting LLM integrations, evaluating AI-generated results, and ensuring observability, testing, cost efficiency, resilience, and graceful degradation. The role provides technical leadership, guides delivery, assesses emerging AI technologies, and partners with Product and Engineering to build scalable backend solutions.

Manages and audits client location data using proprietary tools and established processes. Responsibilities include data manipulation, discrepancy resolution, listing audits, client support, SLA delivery, and maintaining data accuracy. The role requires strong organization, problem-solving, English communication, and attention to detail, with Google Sheets and AI proficiency considered advantageous.

Lead backend engineering projects for a SaaS location marketing platform. Design and improve software architecture, distributed services, and RESTful APIs; write scalable, tested code; and enhance platform availability, maintainability, and delivery systems. Collaborate with product management, engineering squads, and stakeholders through agile practices, code reviews, refactoring, and automated testing.

Own strategic enterprise accounts across the customer lifecycle, serving as the primary advisor and commercial owner. Drive retention, renewals, upsells, multi-year expansions, customer health, executive relationships, and revenue targets. Develop success plans, lead negotiations, maintain Salesforce forecasting discipline, coordinate internal teams, support onboarding, and translate localized marketing performance into ROI-driven business outcomes.

Leads AI, AEO/GEO, and growth product strategy for Uberall, including roadmap development, product innovation, product-led growth, and customer retention. Manages and mentors global product managers while collaborating with engineering, design, marketing, sales, customer success, and senior leadership. Uses market trends, customer data, competitive analysis, and product metrics to guide decisions and optimize initiatives. Requires deep AI and SaaS expertise, strong growth strategy experience, and a proven record of launching and scaling successful products.

Leads and grows a six-person software engineering team while remaining hands-on. Owns customer-facing data APIs, analytics products, reporting datasets, production operations, observability, SLOs, and incident management. Partners with Product, Design, UX, and Data Engineering on platform migrations and backend modernization from Groovy and Scala to Kotlin. Drives team hiring, development, delivery, quality, and engineering culture while shaping AI-assisted analytics and data access for AI agents.

The Business Development Representative will support market leadership by managing customer communications, conducting research, and scheduling meetings for the sales team, while using Salesforce and other tools.

Leads GEO audits, AI-search visibility analyses, product demonstrations, sales support, client onboarding, and ongoing GEO consulting. Partners with account executives and account managers to advance deals, configure GEO products, present tailored recommendations, and connect client performance to marketing and revenue outcomes. Requires deep SEO and GEO expertise, knowledge of large language models and local search ecosystems, and strong client-facing presentation, storytelling, and advisory skills.

Lead design and ownership of shared libraries, Spring Boot starters, and agentic frameworks. Set standards for agent orchestration, evaluations, and guardrails. Mentor teams on Python-based agents (LangChain/LangGraph), drive adoption, prototype research directions, and improve developer experience across Kotlin backend and client libraries.

Design, build, and maintain secure cloud infrastructure and CI/CD pipelines. Integrate automated SAST/DAST/container scanning and security-as-code in Terraform. Harden Kubernetes (RBAC, network policies, pod security), manage AWS services (EC2, RDS, OpenSearch, EKS), respond to cloud security incidents, support compliance audits (SOC2, HIPAA, GDPR), automate policies, and document infrastructure while collaborating with security and DevOps leads.