Sales Engineer - Shanghai; E-commerce
Listed on 2026-06-02
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Sales
Ecommerce
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 e‑commerce marketplaces leveraging proprietary technology and AI. Utilizing more than 46 trillion data points, sophisticated machine learning and AI models, Pattern optimizes and automates all levers of e‑commerce growth for global brands, including advertising, content management, logistics and fulfillment, pricing, forecasting and customer service. Hundreds of global brands depend on Pattern’s e‑commerce acceleration platform every day to drive profitable revenue growth across 60+ global marketplaces—including Amazon, , , eBay, Tmall, Tik Tok Shop, JD, and Mercado Libre.
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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®.
Pattern is currently seeking a results-driven and collaborative Sales Engineer to join our dynamic sales organization. In this role, you will be a critical technical and strategic partner to the sales team, focused on acquiring new brand partners.
As a key player in our growth engine, you will work across sales, ads, data science, brand management, finance and other internal teams to drive strategies that are instrumental in closing new partnerships. A central part of your role will be to act as the subject‑matter expert on key marketplaces like Amazon, along with the full suite of Pattern's capabilities. Your expertise will be vital on sales calls, inspiring confidence in our ability to accelerate a brand’s success.
The full‑time role is based in our modern and friendly Shanghai office. We are a fast‑growing company with a can‑do culture that will suit someone who prefers not to work in a highly corporate environment.
We offer a competitive salary, based on experience, plus a range of benefits including an allocation of restricted stock units on joining.
What is a day in the life of an eCommerce Sales Engineer?- Acquiring new brand partners through identifying high potential accounts
- Building data-driven, compelling business cases that engage brands and set the right expectations that Pattern can deliver on
- Working across sales, ads, data science, brand management, finance and other teams to drive strategies that assist in closing new brand partners
- Being the subject matter expert on marketplaces like Tmall and Amazon (and more), and Pattern capabilities such that Account Executives always want you on sales calls to drive confidence in Pattern expertise & ability to grow their brand
- Supporting a smooth transition from sales to brand management
- Proactively coordinate with various stakeholders (domestically & internationally) to prioritize projects
- Present business cases to potential accounts (executive teams)
- Serve as an expert on all things eCommerce and have a deep understanding of APAC marketplace opportunities & how effectively the brand can perform in each market
- 4-5 years' experience in eCommerce – expertise and strong experience directly working with China marketplaces / Amazon
- Deep understanding of strengths & weaknesses and economics of marketplaces
- Experience pulling data and insights on brands (or similar), understands key success metrics for a brand in an eCommerce environment
- Experience with profitability modelling and analysis, translating data into insights and ability to be client facing, talk brands through complex data
- Strong proficiency in English and Mandarin, both verbal and written.
- Analytical – experienced with Excel/Google Sheets and building presentations to communicate with executives
- Communicates in a clear, concise manner and can tailor messaging to the audience (e.g. exec level vs. mid-level management level)
- Prioritizes daily activities to…
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