Senior Manager, Software Development (Sponsored Products)

1 week agoSeattle, WA


Advertising is one of Amazon's fastest growing and most profitable businesses. Sponsored Products (SP) is a core offering that helping fuel this impressive growth! SP helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of on products sold through Amazon. The SP team's primary goals are to help shoppers discover new products they love, help advertisers meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our solutions are strategically important to enable Amazon's Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks; we break fresh ground in product and technical innovations every day!

The Sponsored Products org optimizes the systems and ad placements to match advertiser demand with publisher supply; using a combination of machine learning, big data analytics, ultra-low latency high-volume engineering systems, and a quantitative product focus. Our systems and algorithms operate on one of the world's most extensive product catalogs, matching shoppers with products - with a high relevance bar and strict latency constraints. Our goals are to help buyers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a significant, sustainable business that allows Amazon to innovate on behalf of all customers.

We seek a Senior Manager to own improving the experience of ads placements. This leader will drive the science and engineering strategies within the Sponsored Products organization while also owning a broad mandate to influence various teams spread across Amazon's retail business. You will be responsible for hiring and developing the individuals within your team and fostering a transparent, collaborative development environment.

As a Senior Manager, this role will:
• Own the machine learning vision, roadmap, and execution.
• Lead scientists, software engineers, and product managers to deliver product features and solutions.
• Be a scientific thought leader and foster innovation.
• Hire, develop and grow talent.
• Collaborate with advertising and partner teams.
• Perform hands-on experimentation deep-dive, run regular A/B tests, and communicate the impact to senior management.

Why you love this opportunity
Amazon is investing heavily in building a world-class advertising business. This team is responsible for defining and delivering a collection of self-service performance advertising products that facilitate discovery and sales. Our solutions drive long-term growth for Amazon's Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a collaborative team with an entrepreneurial spirit and broad mandate to experiment and innovate.

Impact and Career Growth
You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising. As a senior science leader at Amazon, you will impact the long-term science vision for Amazon's advertising business, guiding science, engineering and product teams to help solve product problems with science.

Team video


• At least 10 years of experience building Machine Learning solutions for large-scale applications.
• At least 5 years of experience managing a team of scientists and engineers.
• At least 5 years of experience building large-scale machine learning solutions at scale.


• PhD in Computer Science, Information Retrieval, Machine Learning, Natural Language Processing, Statistics, Mathematics, or related quantitative discipline.
• An ability to communicate technical concepts and solutions to technical and non-technical audiences; at all levels within the organization.
• Success delivering results at scale in production oriented environments.
• Experience in computational advertising.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit

Client-provided location(s): Seattle, WA, USA
Job ID: Amazon-1496905

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