Sales Engineer, Large Customer Sales, Google Marketing Platform

Google LLC; Chicago (IL); On-site; USD 124,000 - 180,000; Full time

Benefits offered by this job

Health, dental, vision, life, and long

Disability insurance

401(k) with company match

Paid Time Off: 20 days per year

Sick Time: 40 hours/year

Maternity Leave: 28-30 weeks

Baby Bonding Leave: 18 weeks

Holidays: 13 paid days

Job summary

Google seeks a Sales Engineer for Large Customer Sales to architect and present data-driven advertising solutions to Google Marketing Platform customers in the US. You’ll collaborate with cross‑functional teams to translate customer needs into scalable, platform-based outcomes.

You will influence product adoption, deliver technical demos, and guide executive decision-makers through complex architectures while leveraging Google’s AI and data tools to drive revenue with major brands.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in digital media, sales, marketing, or product roles, or 6 years with an advanced degree.
• Experience with the Google Marketing Platform or other programmatic platforms.

Responsibilities

• Partner with Google Marketing Platform Account Executives and Data Transformation Leads to promote new ads products and advanced marketing activations.
• Consult with sales and client teams to conduct discovery, whiteboard technical diagrams, and pitch architecture/solutions that address specific business needs (this could include Google Marketing Platform, Google Ads and applications of Google Cloud Platform).
• Translate technical solutions to business outcomes via storytelling, narrative building, etc. for both executive and day-to-
• Provide thought leadership to customers around industry and performer trends (e.g., AI, 1P data, Agentic Advertising Workflows).
• Liaise between the Platforms Sales team and Product teams to influence Go-to-Market strategy and roadmap prioritization that will capture new ads business.

Skills

Digital media experience

Sales experience

Programmatic platforms

Google products familiarity

Education

Bachelor's degree or equivalent

Tools

BigQuery

Colabs/Jupyter Notebooks

Vertex AI

Job description

Sales Engineer, Large Customer Sales, Google Marketing Platform corporate_fare Google place New York, NY, USA ; Chicago, IL, USA ; +3 more info_outline X This role may also be located in our Playa Vista, CA campus.

Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

Benefits

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Chicago, IL, USA; Los Angeles, CA, USA; San Francisco, CA, USA; Washington D.C., DC, USA.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in digital media, sales, marketing, or product roles, or 6 years with an advanced degree.
• Experience with the Google Marketing Platform or other programmatic platforms.

Preferred qualifications:

• Experience in working with Google products (e.g., Google Ads, DV360, Campaign Manager, Google Analytics, Ads Data Hub and Google Cloud) and the following platforms: BigQuery, Colabs/ Jupyter Notebooks or Vertex AI.
• Experience with 1st party Data Integration, Enterprise Workflows, Online and Offline Data Ingestion.
• Experience identifying and recommending new processes, procedures, and methods for product adoption strategy, addressing future needs by partnering and collaborating with regional partners/stakeholders.
• Ability to be a thought leader of Google product and engaged landscape.
• Ability to influence and build relationships across teams and functions to address customer needs and close agreements.

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 Sales Engineer, you'll work with Google's largest customers to help them achieve their business goals - you will architect technology and data solutions that deliver great marketing experiences, both now and into the future as our industry evolves. We are curious and tenacious problem solvers who love communicating tech and data solutions with clarity to executives, unblocking some of their toughest challenges.

You will use your industry and product expertise to consult with clients, identifying how Google AI, technology and data solutions will integrate and improve their existing marketing technology architecture. You will be whiteboarding, providing product demos, and storytelling to help c-suite customers envision their business running on the Google stack.

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

• Partner with Google Marketing Platform Account Executives and Data Transformation Leads to promote new ads products and advanced marketing activations.
• Consult with sales and client teams to conduct discovery, whiteboard technical diagrams, and pitch architecture/solutions that address specific business needs (this could include Google Marketing Platform, Google Ads and applications of Google Cloud Platform).
• Translate technical solutions to business outcomes via storytelling, narrative building, etc. for both executive and day-to-
• Provide thought leadership to customers around industry and performer trends (e.g., AI, 1P data, Agentic Advertising Workflows).
• Liaise between the Platforms Sales team and Product teams to influence Go-to-Market strategy and roadmap prioritization that will capture new ads business.