Incrementality Insights Lead

Google LLC; Boulder (CO); Hybrid; USD 124,000 - 178,000; Full time

Benefits offered by this job

Bonus target

Equity

Benefits

Job summary

Google LLC in the United States is seeking a Senior Associate for Global Product Solutions focused on Incrementality Best Practices and Insights. The role supports the GPS organization in driving lift and ROI through advanced measurement and cross-product collaboration, with a strong emphasis on data-driven decision making.

Ideal candidates will have 4+ years in ads measurement, a solid foundation in quantitative analysis, and the ability to drive end-to-end initiatives across matrixed teams.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 4 years of experience in agency, brand advertising, product marketing, or ads sales.
• Experience in ads measurement (e.g., digital and cross-media measurement solutions and ad sales/tools).
• Experience with return on investment measurement concepts (incrementality) and the third-party measurement ecosystem.

Responsibilities

• Build, validate, and scale global playbooks to move advertisers from measurement to campaign optimization.
• Align cross-functional Product Area leads across Search+, PMax, Demand Gen, and YouTube for cross-campaign blueprints.
• Prioritize analysis of Data Lakes and AI-driven mining of 1P/3P datasets to drive iROAS insights.
• Lead complex workstreams from hypothesis through pilot execution and commercialization.
• Synthesize performance data to identify feature gaps and create executive narratives.

Skills

Quantitative metrics

SQL

Data analysis

Data structures

Communication

Project management

Ads measurement

Education

Bachelor's degree or equivalent practical experience

Job description

Google LLC in the United States is seeking a Senior Associate for Global Product Solutions focused on Incrementality Best Practices and Insights. The role supports the GPS organization in driving lift and ROI through advanced measurement and cross-product collaboration, with a strong emphasis on data-driven decision making.

Ideal candidates will have 4+ years in ads measurement, a solid foundation in quantitative analysis, and the ability to drive end-to-end initiatives across matrixed teams.