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 use data and insights to solve problems that meaningfully transform their businesses and help achieve their objectives. You will foster and lead relationships with client marketing, strategy, and analytics stakeholders. You have strong communication skills and are able to construct thoughtful, inspirational points of view that influence key decision makers while also being able to properly handle objections. You are a collaborative team player who can build trust and motivate change both internally and externally.

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.

The US base salary range for this full-time position is $108,000-$154,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Help to prove the value of Google media via the triangulation of incrementality experiments, MMM, and attribution.

• Use predictive and statistical modeling techniques to solve challenges, uncover opportunities and develop solutions for client business. Help customers navigate industry standards and alternatives.

• Seek out key decision makers, challenge the status quo and influence decisions by telling stories with data, both visually and verbally. Foster and own client relationships including marketing or advertising, analytics, finance and corporate strategy.

• Partner with internal and external Product, Research, Data and Measurement teams to bring full analytical capabilities to customers.

• Consult with clients as an industry advocate and analyst on their total opportunity and value delivered for driving their business outcomes with a growth mentality.

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.

Preferred qualifications

• Experience working with clients, advising on marketing or business performance, and influencing decisions together with insights and measurement.

• Experience with marketing measurement and attribution techniques (e.g., offline measurement, MMM, MTA, attribution) and advertising products (e.g., Ads, Analytics, Marketing Platform, etc).

• Experience performing marketing experiments, return on investment or financial modeling, and statistical analyses.

• Ability to analyze large datasets and distill them into actionable insights that are presented in a logical and compelling story.

• Excellent written and verbal communication skills, with the ability to deliver simple and compelling stories to audiences of all levels.