Product Manager, Advertising Measurement & Reporting

lgads; Denver (CO); Hybrid; USD 135,000 - 175,000; Full time

Benefits offered by this job

Employer-paid medical

401(k) match

Flexible Time Off

Parental leave

Job summary

LG Ad Solutions is seeking a Product Manager, Measurement & Reporting to lead cross-functional efforts in our advertising data and measurement ecosystem. You will drive campaigns reporting, attribution, audience targeting, and segmentation across Product, Engineering, Data, and Operations.

The role requires strong data fluency and the ability to work with SQL and analytics platforms like Databricks, while coordinating with business stakeholders.

Qualifications

• 3+ years in Product Management, Technical PM, Product Ops, or related role delivering complex technology or data programs.
• Experience delivering cross-functional products with reporting, analytics or data products.
• Strong understanding of SDLC and Agile practices; able to plan dependencies and releases.
• Excellent data fluency; comfortable using SQL to investigate datasets and metrics.

Responsibilities

• Own end-to-end delivery of products across reporting, measurement, attribution, audience targeting, and segmentation.
• Translate objectives into executable plans with scope, milestones, dependencies, risks and success criteria.
• Coordinate across Product, Engineering, Data, Analytics, Operations and other teams through planning to production rollout.
• Establish product operating rhythms: planning, prioritization, status reporting, release readiness, escalation.
• Identify risks and dependencies early and drive resolution across teams.
• Manage multiple workstreams with clear sequencing and ownership.

Skills

Data fluency

SQL proficiency

Agile delivery

Stakeholder comms

Tools

Databricks

Jira/Confluence

Python

Job description

LG Ad Solutions is seeking a Product Manager, Measurement & Reporting to lead cross-functional efforts in our advertising data and measurement ecosystem. You will drive campaigns reporting, attribution, audience targeting, and segmentation across Product, Engineering, Data, and Operations.

The role requires strong data fluency and the ability to work with SQL and analytics platforms like Databricks, while coordinating with business stakeholders.