Platforms Analytical Lead, Large Customer Sales
Confirmed on the employer's own hiring board on Nov 2, 2026. First seen by Alion on Oct 21, 2026. Google scores B on the Alion truth index.
About the job
Businesses of all shapes and sizes rely on Google’s unparalleled advertising solutions to help them grow in today's dynamic marketing environment. You bring a passion for sales, knowledge of online media, and commitment to maximize customer success. You act like an owner, move with velocity through change, finding innovative and strategic ways to consistently deliver extraordinary and incremental outcomes for both Google and your customers. You build trusted relationships with customers, uncovering their business needs and translating them into powerful solutions to achieve their most ambitious goals. You achieve as a team with sellers, shape the future of advertising in the AI-era, and make a real impact on the millions of companies and billions of users that trust Google with their most important goals.
In this role, you will explore and uncover opportunities for better marketing results. You possess strong expertise in marketing science and the digital media ecosystem.
You help clients identify the requisite data and strategic insights to achieve their business goals with Google Marketing Platform tech adoption and media buying. You will help drive high-impact customer engagements in collaboration with Google’s ad sales teams, Product and Engineering to identify best practices, drive activation, solve challenges, develop case studies, and provide critical feedback to improve solutions.
You serve as the Google quantitative expert leading experimentation, measurement and advanced analytics for Google Marketing Platform, and are a key partner to Google's ad sales teams, who work to bring the best of Google's advertising solutions to their customers.
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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $124000 - $180000 (USD) + 60% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Support the growth of Google Marketing Platform through analysis of customer's data and platform utilization.
- Leverage advanced analytical approaches and measurement methods to produce business-focused insights and help customers understand the value of Google tech and advertising investments
- Test via experimentation and learning agendas, share learnings across sectors, and implement best practices with cross-functional partners
- Develop forward thinking, data-driven recommendations that align with client business objectives.
- Partner with Programmatic Sales, Google Marketing Platform ad tech Sales, Data Measurement and Analytics teams, Product Managers, and Sales Operations to develop scalable use cases and frameworks to prove the value of advanced usage and feature adoption.
Qualifications
Minimum qualifications:
- Bachelor's degree in a quantitative field (e.g., Economics, Statistics, Physics), or equivalent practical experience.
- 8 years of experience in media analytics, advertising sales, digital media and marketing, consulting, or financial analysis.
- Experience in SQL.
Preferred qualifications:
- Experience with modern statistical modeling including Media Mix Modeling, advanced experimental design (multivariate testing, Mantel-Haenszel, and Wilcoxon), and sampling techniques (such as stratified sampling).
- Experience building and activating predictive models and machine learning algorithms (such as random forest, XGBoost, or neural networks) using Python or R to solve complex marketing problems.
- Experience designing and activating customized programmatic bidding scripts and algorithms (such as Display and Video 360 Custom Bidding).
- Experience using developer-facing generative AI tools.
- Familiarity with privacy-safe clean rooms (such as Ads Data Hub), data warehousing (such as BigQuery), and cloud-based data storage solutions.