Product Manager

Hybrid: in office 3 days a week

LG Ad Solutions is a global leader in connected TV (CTV) and cross-screen advertising. We pride ourselves on delivering state-of-the-art advertising solutions that integrate seamlessly with today's ever-evolving digital media landscape.

The Opportunity:

LG Ad Solutions is seeking a Product Manager, Measurement & Reporting to drive complex, cross-functional products across our advertising data and measurement ecosystem.

This role will sit at the intersection of Product, Engineering, Data, Operations, and commercial teams, with a particular focus on the systems and workflows that enable campaign reporting, advertising measurement and attribution, audience targeting, and customer segmentation.

You will be responsible for turning complex business and technical initiatives into tangible products, establishing clear requirements and dependencies, driving delivery across multiple teams, and ensuring that solutions move successfully from planning through production and adoption.

The ideal candidate understands how data moves through modern advertising platforms and can operate comfortably with both technical and business stakeholders. You do not need to be a software engineer or data engineer, but you should be technically fluent enough to work directly with Engineering and Data teams, interrogate data using SQL and analytics platforms such as Databricks, understand system and data dependencies, and identify risks before they become delivery issues.

This is an opportunity to help shape foundational capabilities that advertisers and internal teams rely on to understand who they are reaching, how campaigns are performing, and what outcomes advertising is driving.

Responsibilities:

• Own end-to-end delivery of strategic products across campaign reporting, measurement, attribution, audience targeting, and segmentation.

• Translate business and product objectives into executable program plans, including scope, milestones, workstreams, dependencies, risks, and success criteria.

• Drive execution across Product, Engineering, Data, Analytics, Operations, and other partner teams from initial planning through production rollout and adoption.

• Establish product operating rhythms, including planning, prioritization, status reporting, dependency management, release readiness, and escalation.

• Identify execution risks and cross-team dependencies early and drive them to resolution.

• Manage multiple interconnected workstreams while maintaining clarity around sequencing, ownership, and critical path.