Measurement Specialist, Large Customer Sales (English, Korean)
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Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 5 years of experience in media analytics, advertising sales, digital media and marketing, consulting, or financial analysis.
- Experience in SQL, databases, and automation techniques (e.g., dashboards, automating custom reports, materializing tables).
- Ability to communicate fluently in English and Korean in order to interact with local stakeholders.
Preferred qualifications:
- Experience with either Digital Marketing Tech (Modern Tagging and Data Infrastructure, Media Effectiveness Measurement, MMM, Cross-Media Measurement, or BI Architecture), or Advanced Analytics (Measurement Experimentation, Data Science or statistical modeling).
- Ability to translate complex data structures, technical constraints, and query updates into clear, strategic narratives for executive sponsors.
- Experience leading cross-functional alignment and managing complex projects with internal and external partners.
About the job
As a Measurement Specialist, you will act as an advisor to Google’s largest and most sophisticated advertisers. You will lead the measurement and experimentation strategy, using insights to solve business issues and unlock new avenues for growth during a pivotal moment of industry transformation. Working at the intersection of media, technology, and data science, you will partner with our clients to guide their measurement maturity and support their business goals.
You are a collaborative problem-solver who navigates ambiguity and possesses business acumen. You will build trusted relationships with key decision-makers, including executive leaders across marketing, analytics, and strategy, and seamlessly partner with Google's sales and product teams. By translating datasets into compelling narratives, you will influence critical business decisions and motivate organizational change. With a background in advanced analytics, you will be an expert in demonstrating media value through incrementality, Marketing Mix Models (MMM), attribution, and AI-driven solutions. You will empower analytical clients to modernize their measurement infrastructure by integrating first-party data and adopting privacy-safe best practices, ultimately ensuring their media investments deliver real-world success.
Google's Large Customer Sales (LCS) teams are strategic partners and industry thought leaders to the world's leading brands and agencies. We continuously challenge how customers think about their business and how Google can support growth. We focus on helping these players navigate profound industry shifts and drive outsized business performance by competitively selling Google's full suite of advertising solutions across Search, YouTube, Measurement, and more. As a member of our LCS team, you'll have the unique opportunity to sell at the forefront of technology, collaborating with executives, influencing market-shaping strategies, and delivering tangible results that significantly impact major global businesses and drive the growth of Google.Responsibilities
- Act as a trusted technical advisor to senior leaders, partnering with Sales, agencies, and Google Cloud teams to architect cross-platform solutions and deliver data stories that influence business decisions.
- Design customized measurement frameworks and execute joint "Test-and-Learn" agendas, leveraging MMM and full-funnel measurement to quantify media return on investment (ROI) and prove long-term brand value.
- Drive privacy-durable data foundations by implementing Google’s tagging infrastructure and first-party data solutions (e.g., Data Manager API, GCP integrations) for resilient signal capture.
- Apply data science and statistical modeling (e.g., causal inference) to design incrementality experiments, optimize MMM inputs, and help clients navigate evolving industry privacy standards.
- Lead the commercial business cycle for measurement opportunities across Google Ads and Google Marketing Platform (GMP), driving feature adoption, scaling AI innovation, and accelerating growth.
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Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
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