Are you passionate about machine learning? Do you want to drive the innovation behind real-world recommendation systems? Do you want to impact what is shown to Amazon customers across the website by innovating with Amazon scale data? Our team focuses on optimizing the customer experience on Amazon.com primarily through content recommendation and related optimizations for the customer. We operate a central service for ranking and optimization decisions as well as the backend infrastructure and algorithms to support these decisions. You will be part of a multidisciplinary team, leading strategically important and technically complex initiatives across multiple organizations to improve our ability to provide the right content to the right customer at the right time.

Key job responsibilities
As a Sr. TPM, you will work in a highly collaborative team of engineers and scientists and lead the technical program management for key strategic goals. You will anticipate bottlenecks, provide escalation management, anticipate and make tradeoffs, and balance customer and business needs versus technical constraints. An ability to assimilate a large number of inputs from stakeholders, develop cohesive designs and functional specs, prioritize and deliver them in a successful and timely manner is expected. You will clearly communicate goals, requirements, roadmaps, and timelines to internal and external cross-functional teams. You are entrepreneurial, innovative, and thrive on solving complex problems. Maturity, sound business and technical judgement, negotiation skills, ability to influence, and leadership are essential to success in this role.

Successful candidates will have a strong technical background, be detail-oriented, have excellent communication skills, and will develop a deep understanding of the system architecture. You will have a consistent record of ownership of complex projects and demonstrated the ability to earn the trust of your partners. Your technical expertise and operational excellence will raise the bar and influence the team’s decisions.