New York, NY, US
12 days ago
Principal Product Manager-Tech, Sponsored Products, Advertiser Growth - Brand Intelligence
Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of advertising tools within Sponsored Products and Sponsored Brands that drive discovery and advertiser growth. Our brand identity and understanding products are strategically important to our advertisers, helping them propel long term growth across retail and marketplace businesses. We deliver billions of ad impressions and clicks daily and are breaking fresh ground to create world-class brand intelligence models and products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action.

Within Advertiser Growth organization, the Brand Intelligence team is on a mission to make Amazon the best in class destination for shoppers to discover, engage and build affinity with brands, thereby making shopping delightful, and a personalized experience. Our team builds the central brand understanding foundation for Amazon ads and beyond. We focus on enabling brands to align customers' shopping intent and position its unique value proposition via Amazon Ads. We provide large-scale offline and online brand understanding data services, powered by cutting edge Machine Learning technologies (e.g., Large-Language-Model, Multi-Modal Deep Neural Networks, Statistical Modeling). We also enables advertiser to manage their brands through intelligent and efficient UX, enabling advertisers to measure their ad performance at the granular levels (e.g., sub-brands, child brands, peer brands etc.).

We are looking for an entrepreneurial product leader to lead and scale Ads Brand Intelligence program to drive shopper and advertiser experience. As a Principal Product lead for a foundation platform, you will be responsible for defining the vision, strategy, roadmap, and build strategic relationship with partners to create and build innovative advertiser and shopper's brand experiences.

You will be required to think big, dive deep, have bias for action and deliver results on Advertiser and brand growth solutions. You will work with cross-functional teams, engaging directly with customers of all sizes and teams across Amazon. In your day-to-day work, you will closely collaborate with engineers, ML scientists and other leaders on expanding the breadth and depth of Brand Intelligence foundational service, stay curious on learning the latest ML technologies’ strength and limitations, and aligning with cross organization business partners on building next generation Brand Ads products.

We are looking for visionary and innovative individual who is passionate about ML/AI technology, customer experience, and ready to make a lasting impact on the industry. The successful candidate must have problem solving skills, business judgment, technical depth and demonstrated experience leading initiatives that involve multiple cross-functional teams. We are looking for an effective leader to execute both strategically and tactically, and someone who is excited to take on an ambitious, and ambiguous program.

Key job responsibilities
- Develop the vision, product strategy, and product development of key Advertising services and experiences with industry-wide impact.
- Create buy-in for the product vision both internally and with key external partners.
- Drive the first and subsequent launches for the service both from product and Go-to-Market perspective
- Develop detailed business requirements and user stories that can be used to create product specifications and architecture for each product or feature.
- Work closely with engineering teams and program management to deliver products. Manage prioritization and trade-offs among customer experience, performance and operational support load.
- Proactively identify and resolve strategic issues that may impair the team’s ability to meet strategic, financial, and technical goals.
- Communicate your plans to internal stakeholders from across and at all levels within Amazon through 2-6 page documents.
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