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.

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 $118,000-$174,000 + 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

• Be an expert in helping prove the value of Google media via the triangulation of incrementality experiments, Marketing mix modeling (MMM), and attribution, use predictive and statistical modeling techniques to solve tests, uncover opportunities and develop solutions for client businesses.

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

• Partner with internal and external products, research, data and measurement teams to bring full problem-solving 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.

• Develop strategic measurement plans in partnership with external client sponsorship, bringing the Google and Specialist teams along for execution.

Minimum Qualifications

• Bachelor's degree or equivalent practical experience.

• 8 years of experience in consulting, corporate strategy, data analytics, performance marketing, business analysis, product strategy, or a related technical field.

• Experience in leading projects, including planning, execution, and delivery.

Preferred Qualifications

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

• Experience with online advertising (e.g., Apps, Search, Display, Video/TV), website analytics (e.g., Google Analytics), or brand analysis techniques.

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

• Experience with brand and performance marketing and measurement solutions (e.g., MMM, experiments, incrementality, etc.).

• Ability to analyze datasets, identify actionable insights, and communicate findings via presentations or dashboards.

• Excellent communication skills with comfort delivering simple and compelling stories to audiences of all levels.