Description

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
  
• 5 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:

• MBA or advanced degree.
• Experience working with lead generation or lead aggregation businesses.
• Experience with data analytics, financial modeling, or statistical analysis.
• Experience with marketing analytics, third-party analytics platforms, or web analytics (e.g., Adobe/GA4).
• Experience in a client-facing role, with the ability to navigate complex customer organizations influence across multiple levels including c-level, and operate independently, demonstrating creativity and delivering results in an organized manner.
• Excellent written and verbal communication skills with the ability to deliver complex data analysis and insights into actionable narratives.

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 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 support the Landmark vertical. Landmark supports lead generation agencies, marketplaces and aggregators. Our team drives this through AI-adoption, experimentation, business diversification and product usage.

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 $103,000-$148,000 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

• Analyze internal and external data to quantify opportunities, anticipate risks, develop solutions to customer marketing challenges, and measure success.
• Help customers navigate the shift to an AI first era of Marketing leveraging Google AI and ML solutions articulating and quantifying the value and impact of investments in this area.
• Develop relationships with analytics counterparts, challenging the status quo together by telling stories with data, both visually and verbally.
• Collaborate across teams innovating, to activate full measurement and attribution product capabilities for customers, and develop scalable solutions to industry challenges.
• Advise on marketing analytics, including attribution, lifetime value, customer segmentation, and behavioral insights and lead the full life-cycle of analytics and measurement initiatives, from idea to implementation.

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Requisition #: 140240171629978310

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