Sr. Product Manager - Technical

Job description

DESCRIPTION

Amazon Advertising is dedicated to driving measurable outcomes for brand advertisers, agencies, authors, and entrepreneurs. Our ad solutions—including sponsored, display, video, and custom ads—leverage Amazon's innovations and insights to find, attract, and engage intended audiences throughout their daily journeys. With a range of flexible pricing and buying models, including self-service, managed service, and programmatic ad buying, these solutions help businesses build brand awareness, increase product sales, and more.

The Team:
Forecasting and dynamic pricing team builds end-to-end solutions including data pipelines, machine learning models, large scale data structures and indexes, advertiser recommendations (bids, products) and data visualizations. We match supply (human eyeballs) and demand (advertisers interests) in thousands of audience targeting dimensions, and recommend optimal prices.

The Role:
In this role, you will be building data driven products, develop product vision and roadmaps, and has demonstrated the ability to lead and execute complex projects.
You will specifically:
· Be the person to envision, articulate and drive new product features across multiple stakeholder teams in Amazon that leverages team's infrastructure and datasets.
· Lead cross-team initiatives, working closely with business and engineering leaders.
· Tackle open-ended business or technology problems, drive clarity and deliver results.
· Drive execution of projects within forecasting team.
· Communicate regularly with advertising leadership on status, risks and strategy.
In this team, you'll experience the benefits of working in a dynamic, entrepreneurial environment, in our offices located in downtown Palo Alto, California.

Desired profile

BASIC QUALIFICATIONS

· Bachelor's Degree in Computer Science or related field
· 4+ years professional experience in software development
· 2+ years experience as product manager, or equivalent business curriculums (MBA)
· Computer Science fundamentals in algorithms, system design and object-oriented design