Jobs at LG Ad Solutions

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.

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 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.

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.