Pattern
VP of Data Platform & Architecture
Lehi, UT, US · Vp
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About the role
- Are you obsessed with data, partner success, taking action, and changing the game? If you have a whole lot of hustle and a touch of nerd, come work with Pattern! We want you to use your skills to push one of the fastest-growing companies headquartered in the US to the top of the list. Pattern accelerates brands on global ecommerce marketplaces leveraging
- proprietary technology and AI. Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern optimizes and automates all levers of ecommerce growth for global brands, including advertising, content management, logistics and fulfillment, pricing, forecasting and customer service. Hundreds of global brands depend on
Nice to have
- If you have a whole lot of hustle and a touch of nerd, come work with Pattern!
- We want you to use your skills to push one of the fastest-growing companies headquartered in the US to the top of the list.
- Pattern accelerates brands on global ecommerce marketplaces leveraging proprietary technology and AI.
- To learn more, visit pattern.com or email press@pattern.com.
- Pattern has been named one of the fastest growing tech companies headquartered in North America by Deloitte and one of best-led companies by Inc.
- We place employee experience at the center of our business model and have been recognized as one of Newsweek's Global Most Loved Workplaces®.
- What is a day in the life of a Vice President of Data Platform & Architecture?
- Architect and scale distributed systems capable of processing petabyte-scale datasets and hundreds of billions of events.
Compensation
- Pattern matches 100% of the first 3% in eligible compensation deferred and 50% of the next 2% in eligible compensation deferred.
Benefits
- Company Paid Life Insurance
- Health, Vision, and Dental Insurance
- Onsite Fitness Center
Company info
- We are a company full of talented people that evolves quickly and often.
This listing is sourced directly from Pattern's careers page and normalized into a canonical job model.