Sr Technical Program Manager, Brand Shopping Experience
Amazon.com
Amazon’s shopping experience works well for shoppers who exactly know what they want. However, not all shopping journeys fit that mold - people shop to explore, discover, refine their tastes or just have fun. We, Brand Shopping Experiences (BSX), aspire to delight shoppers by introducing a new way to shop on Amazon – one that is encouraging shoppers to explore new brands and products via resonating ads and organic discovery, enabling brands to share their story and connect with shoppers, while also building brand loyalty. We help sellers, vendors and advertisers of all sizes improve their brand performance on Amazon through Brand Stores which is the 5th most visited place on Amazon. Our experiences power billions of brand impressions, and we are just getting started.
Brands tell us that driving sales and lifetime value (LTV) are the key metrics they use to measure business growth and the success of their marketing campaigns. They also ask for help understanding the impact Brand Stores have on their Sponsored Ads campaigns. A leading marketer says that “Ad attributed store sales and store units/order make me feel differently about our ad strategy. As a marketer, I’d find these very valuable when managing a brand's marketing budget.”
We are looking for a seasoned TPM to lead strategic Science and Analytics initiatives that are critical enablers for new products and brand experiences. This role requires someone with a strong understanding of, and desire to deeply learn customer needs, experience working with Applied Scientists and Machine-Learning (ML) Engineers to build ML features and analytics signals from the ground up, excellent analytic skills, and the ability to build trusted relationships with internal and external partners at senior (director and VP) levels. Our ideal candidate will be self-motivated, highly goal-oriented, and with a track record of delivering solid results.
If the challenge of building brand experiences that will fundamentally change the way people shop on Amazon excites you – please get in touch!
Brands tell us that driving sales and lifetime value (LTV) are the key metrics they use to measure business growth and the success of their marketing campaigns. They also ask for help understanding the impact Brand Stores have on their Sponsored Ads campaigns. A leading marketer says that “Ad attributed store sales and store units/order make me feel differently about our ad strategy. As a marketer, I’d find these very valuable when managing a brand's marketing budget.”
We are looking for a seasoned TPM to lead strategic Science and Analytics initiatives that are critical enablers for new products and brand experiences. This role requires someone with a strong understanding of, and desire to deeply learn customer needs, experience working with Applied Scientists and Machine-Learning (ML) Engineers to build ML features and analytics signals from the ground up, excellent analytic skills, and the ability to build trusted relationships with internal and external partners at senior (director and VP) levels. Our ideal candidate will be self-motivated, highly goal-oriented, and with a track record of delivering solid results.
If the challenge of building brand experiences that will fundamentally change the way people shop on Amazon excites you – please get in touch!
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