GALE is a mid-sized media and technology agency running a heavy programmatic stack (DV360, Amazon DSP, Google Ads, Meta) paired with testing automation tools (Selenium, Playwright, Cypress, JMeter). The hiring mix is heavily skewed toward marketing (13 roles) with sparse engineering (3) and data (1), yet their active projects reveal significant internal tech debt: QA workflow creation, automation framework standardization, and a rewrite of their campaign platform. This suggests a transition from manual media operations toward scaled, testable infrastructure.
GALE is a business agency headquartered in New York, founded in 2014, with 501–1,000 employees. The firm combines strategy, experience design, and performance marketing with data science and marketing intelligence services. Their core offering is campaign planning, execution, and optimization across programmatic channels (DV360, Amazon DSP), search, and social platforms. Operations span global ad trafficking, media planning, and creative activation. The company hires across the United States and India.
DV360, Amazon DSP, Google Ads, Search Ads 360, and DoubleClick for buying; Google Analytics 4, Google Tag Manager, and Adobe for measurement; Python, SQL, and testing frameworks (Selenium, Playwright, Cypress) for automation and QA.
Yes, 3 active engineering roles open across senior and mid-level seniority in the United States and India, with steady hiring velocity.
Programmatic buy setup across DSPs, campaign platform modernization, QA automation framework development, SLA compliance, and reducing ad delivery errors across global accounts.
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