Jobs at LG Ad Solutions

Own end-to-end delivery of advertising measurement, reporting, attribution, audience targeting, and segmentation products. Translate business and technical goals into plans, manage dependencies and risks, coordinate Product, Engineering, Data, Analytics, and Operations teams, and oversee production rollout and adoption. The role requires strong data fluency, SQL skills, familiarity with Databricks and AWS, software development lifecycle knowledge, Agile delivery experience, and rigorous stakeholder communication.

Design, implement, and deploy scalable ad-serving, measurement, and targeting systems. Optimize big data applications for performance and cost. Own projects end-to-end, mentor junior engineers, drive technical design and best practices, and collaborate cross-functionally and with global engineering teams to enhance targeting and measurement integrations.

Own end-to-end delivery of advertising measurement, reporting, attribution, audience targeting, and segmentation products. Translate business and technical objectives into plans, requirements, milestones, dependencies, and success criteria. Coordinate Product, Engineering, Data, Analytics, Operations, and commercial teams through development, rollout, and adoption. Investigate data with SQL, manage delivery risks and workstreams, establish operating rhythms, and support production readiness using Agile practices.

Build and maintain production generative AI agents, LLM services, APIs, RAG pipelines, evaluation frameworks, and observability infrastructure. Develop intent recognition, query decomposition, context engineering, and self-service data capabilities. Integrate agents with internal and third-party systems, optimize latency and cost, automate business processes, and support AI-driven media planning and data monetization. Collaborate cross-functionally in an agile environment while adapting to evolving requirements.

As a DevSecOps Engineer, you will integrate development and operations with a security focus, implementing CI/CD pipelines, security measures, and monitoring systems.

Own digital advertising campaigns for major brands, analyze post-campaign performance, and optimize campaigns against customer KPIs. Collaborate with sales, account management, product strategy, product management, and measurement teams. Prepare quarterly business reviews, support reporting solutions, and contribute to new tools that improve reporting capabilities and client revenue outcomes.

The Senior Software Engineer II will design scalable data solutions, lead cross-functional teams, and oversee data governance while mentoring staff and optimizing platform performance.

Design and develop robust data pipelines for advertising and ACR systems, ensuring data quality and governance while collaborating with global teams.

Design, implement, and optimize scalable backend software solutions. Collaborate with team members and uphold coding standards while troubleshooting and maintaining software performance.

The Product Manager will define and execute product strategy for Ad Tech solutions, collaborating with cross-functional teams to enhance efficiency and drive revenue growth.

The HR Business Partner will develop relationships with management and staff, support employee relations, performance management, and foster a high-performing culture by employing feedback and improving HR processes.

The Product Manager will lead strategy and execution of Ad Tech products, enhancing customer satisfaction and revenue through collaboration with cross-functional teams.

The Software Engineer II will design, build, and maintain robust data pipelines for advertising systems, focusing on data governance and compliance, collaborating globally, and troubleshooting distributed environments.

This role involves leading quality assurance initiatives, designing test plans for complex scenarios, and mentoring team members to enhance testing practices across product development.

The Product Manager will drive strategy and execution of Ad Tech products, collaborating across teams to enhance customer satisfaction and revenue growth.

Design, build, and maintain large-scale data platforms, pipelines, and warehouses to power reporting, analytics, and AI-driven solutions. Develop agentic AI applications and backend services, improve frontend dashboards occasionally, enforce data governance and testing, mentor junior engineers, and collaborate cross-functionally to optimize performance and reliability.