About the job

g Tech Ads is responsible for all support and media and technical services for customers big and small across our entire Ad products stack. We help our customers get the most out of our Ad and Publisher products and guide them when they need help. We provide a range of services from enabling better self help and in-product support, to providing better support through interactions, setting up accounts and implementing ad campaigns, and providing media solutions for customers business and marketing needs and providing complex technical and measurement solutions along with consultative support for our large customers. These solutions range from bespoke and customized ones for our customers to scalable support for millions of customers worldwide. Based on the evolving needs of our ads customers, we partner with Sales, Product and Engineering teams within Google to develop better solutions, tools, and services to improve our products and enhance our client experience. As a cross-functional and global team, we ensure our customers get the best return on investment with Google and we remain a trusted partner.

Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers complex needs.

In this role, you will empower high growth Google Customer Solutions (GCS) customers to navigate the evolving measurement landscape. You will translate complex data into actionable insights that prove media effectiveness and drive sustainable business growth.

Google creates products and services that make the world a better place, and g Tech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.

To learn more about gTech, check out our video.

Responsibilities

• Develop an understanding of client needs based on marketing objectives, customer business objectives. Design optimal measurement strategies and define KPIs tailored to client maturity and eligibility.

• Lead the end-to-end execution of measurement studies, including conversion lift, brand lift, XNR, and geo-based experiment ensuring statistical significance (Stat Sig) on all uplift data.

• Utilize advanced investigative skills to model experimental results and triage them into a broader media plan return on investment analyses. Analyze attribute lift across channels to inform high-level channel strategy and budget allocation.

• Reconcile disparate data sources (MMM, MTA, and incrementality) to provide a unified narrative of media effectiveness, helping clients navigate the shift toward third-party measurement.

• Partner with in-market sales and product specialist teams to interpret measurement results for client leadership. Identify opportunities to increase product adoption and scale investment based on data-backed insights.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.

• 5 years of experience working with digital media or digital marketing/advertising solutions, implementing and measuring digital advertising campaigns, and providing client solutions.

• 4 years of experience in a client-facing role working with partners across multiple levels.

Preferred qualifications

• Experience in Media Mix Modeling (MMM), incremenality and Multi-Touch Attribution (MTA) tools.

• Experience defining measurement frameworks for mid-funnel and audience acquisition goals, moving beyond traditional last-click conversion tracking.

• Expertise in SQL, Python, or R for building data models and pulling insights from large, complex datasets.

• Understanding of the technical trends around privacy-safe measurement, conversion analytics, and attribution best practices.

• Ability to validate and integrate results from multiple measurement sources of truth.