Join Google's Large Customer Sales (LCS) team, a group of strategic partners and industry leaders dedicated to working with the world's top brands and agencies. We challenge conventional thinking about business and explore how Google can drive growth. Our focus is on guiding clients through significant industry shifts and achieving exceptional business performance by offering Google's comprehensive advertising solutions across Search, YouTube, Measurement, and more. As a member of the LCS team, you'll have a unique opportunity to operate at the forefront of technological advancements, collaborate with executives, shape market strategies, and deliver impactful results for major global businesses, contributing to Google's growth trajectory.

Develop and implement strategic client learning agendas and experimentation roadmaps. Leverage A/B testing, Geo-experiments, and other proprietary Google methods to measure and enhance business growth resulting from Google Ads investments.

Translate intricate research and experimental outcomes into practical, non-technical business recommendations. Create executive-ready presentations that enable marketing leaders to drive immediate business impact.

Serve as a trusted advisor, assisting advertisers in auditing and modernizing their data infrastructure. This safeguards their long-term ad performance and automated bidding efficiency against evolving privacy regulations and signal loss.

Provide expert guidance on budget allocation and testing feasibility. Lead executive reviews and workshops to foster investment confidence among sales teams and agency partners.

A Bachelor's degree or equivalent practical experience is required.

We seek candidates with at least 5 years of experience in media analytics, advertising sales, digital media and marketing, consulting, or financial analysis.

Demonstrated experience in collaborating with partners to identify technical challenges and opportunities, coupled with a track record of selling AdTech/MarTech solutions.

Preferred qualifications include an MBA or Master's degree in a quantitative field such as Data Analytics or Economics. Experience in quantifying ROI and enhancing ad spend ROI through testing approaches (experimental methods, advanced attribution, statistical methods) is highly valued.

Additional desirable experience involves managing and influencing executive stakeholders, recommending data-driven strategies to enhance product and customer strategies for business outcomes, and expertise with incrementality testing, causal impact analysis, MMM, and MTA. A solid understanding of brand and performance measurement is also beneficial.