Account Strategist, Small Business Sales, Google Customer Solutions
Chicago, IL, USA
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~30% per draw at Level II). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$2,147 more — $90,147 — moves this role to Level III and 3 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $90,147 would place this position at wage Level III. That figure is within the posted range, and I'd like to target it. This role classifies under "Market Research Analysts and Marketing Specialists" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Market Research Analysts and Marketing Specialists (13-1161) · Chicago-Naperville-Elgin, IL-IN. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- 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.
Responsibilities
- Identify and build trusted relationships with key client decision-makers, engage effectively (often virtually) to understand their business objectives and marketing needs.
- Analyze customer objectives, financials, and the engaged landscape to develop high-quality agreements, and align on ambitious goals that maximize portfolio value and contribute to quarterly growth goals.
- Build Google Ads knowledge to identify the right solutions for customer needs, and pitch powerfully by simplifying product features into customer-focused language, always demonstrating a clear value proposition designed to exceed expectations.
Requirements
- Bachelor's degree or equivalent practical experience.
- 2 years of experience in advertising, sales, marketing, consulting, or media.
- Ability to travel to the office for customer meetings, team meetings and training, as required.
Nice to have
- Experience in launching and managing paid digital advertising campaigns, particularly in Ads and other digital marketing platforms.
- Experience working with channel sales, advertisers, agencies, or clients.
- Experience strategically assessing and achieving client success via business techniques, including effective questioning, objection handling, and engaged selling.
- 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 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 our team, you'll have the opportunity to work with company owners and make a real difference in their businesses by helping them grow.
- Ensure effective campaign implementation, meticulously track and measure the long-term impact of Google's solutions against client objectives and relative to performer offerings.
Compensation
- US: $88000 - $124000 (USD) + 35% bonus target + equity + benefits
Benefits
- Drive future customer growth and long-term partnerships by identifying and pursuing opportunities, always act with sales integrity while embracing a culture of learning and work smarter with AI.
This listing is sourced directly from Google's careers page and normalized into a canonical job model.