Product Manager, Measurement & Reporting

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.

Requirements:

3+ years of experience in Product Management, Technical Program Management, Product Operations, or a related role delivering complex technology or data programs.

Experience delivering cross-functional products involving reporting, analytics, measurement, advertising data, audience data, or other large-scale data products.

Strong understanding of the software development lifecycle and Agile delivery practices, including requirements definition, sprint/release planning, dependency management, and production rollout.

Strong data fluency, including practical experience using SQL to investigate and understand datasets.

Experience working with modern data and analytics platforms; experience with Databricks or similar environments is strongly preferred.

Proven experience with Atlassian Tool Suite (Jira, Confluence, etc.)

Proven knowledge of coding languages (i.e. Python, SQL) and cloud platforms (particularly AWS).

Excellent stakeholder communication and execution rigor

LG Ad Solutions provides equal work opportunities to all team members and applicants, and it prohibits discrimination and harassment of any type on the basis of race, color, ethnicity, caste, religion, age, sex (including pregnancy), national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by our policies or federal, state, or local laws.

We want to ensure that our hiring process is accessible. If you need reasonable accommodation for any part of the application process because of a medical condition or disability, please send an email to careers@lgads.tv to let us know the nature of your request.

Application Deadline: November 30, 2026

Compensation & Benefits

Tier 1* (San Francisco Bay Area, New York City Tri-State Area, Los Angeles Metro Area, and Seattle Metro Area)$154,000 - $220,000/year

Tier 2* (all other U.S. Locations outside of Tier 1)$135,000 – $175,000/year

Offers Bonus

Benefits & Perks: 100% employer-paid medical, dental, and vision coverage for employees and eligible dependents. Company-paid life and AD&D, STD and LTD insurance, plus optional supplemental coverage. 401(k) with company match. Flexible Time Off (FTO). Paid parental leave.

*Certain markets, including the San Francisco Bay Area, New York City Tri-State Area, Los Angeles Metro Area, and Seattle Metro Area, are aligned to Tier 1 compensation bands. All other U.S. locations are aligned to Tier 2 compensation bands. The compensation offered will take into account internal equity and may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience.