MarTech Solutions Architect, Large Customer Sales

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of industry experience in a client-facing pre-sales, technical consulting, or solutions engineering capacity, or 6 years of experience with an advanced degree.
• Experience across Google’s advertising platforms (Google Ads, Google Marketing Platform) and Google Cloud capabilities.
• Experience with designing technology systems and data flows.

Preferred qualifications:

• Experience architecting technology and data solutions within digital advertising, MarTech, or cloud computing ecosystems.
• Knowledge of software development, product management, and APIs.
• Excellent problem-solving, technical aptitude, and executive communication/storytelling skills.
• Proven track record of resolving complex technical issues and simplifying them for audiences ranging from practitioners to executives.

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.

As a member of the Global Agency and Third-Party Ecosystem team, you will serve as a technical business and consultant leader for the expanding ecosystem of advertising technology, marketing technology, and agency partners. Your focus will be on driving value for brands through in-depth connections between the Third-Party ecosystem and Google advertising data, technology, and Artificial Intelligence.

In this role, you will partner widely across Google—from Google Cloud to Business Development to in-country business teams of all sizes—to ensure Google is identifying, integrating, and activating accretive Third-Party technologies that are rapidly being adopted by brands. You will be passionate about driving technology adoption that unlocks business growth at scale through your experience with data, technology, Artificial Intelligence, and marketing effectiveness.

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: $138000 - $200000 (USD) + 60% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Partner with Account teams to drive adoption of Google Ads, GMP, and Google Cloud solutions with our largest Agencies and Partners (A/Ps).
• Utilize designing and storytelling to design data-driven marketing architectures and long-term tech transformation strategies (JBP/QBR).
• Assess privacy regulations and ecosystem risks to recommend durable data solutions that protect partner and client technology stacks.
• Work across cross-functional stakeholders to align A/P priorities with Google’s, scaling successful solutions to their top clients.
• Act as a critical feedback loop, documenting advanced partner technical requirements to directly influence Google’s Product and Engineering teams.