Amazon’s Customer Intent program builds systems that seek to understand all the interactions that customers have with Amazon, and distill that information into higher-level understanding to enable tailored, personalized shopping experiences across Amazon.
You will be part of a multidisciplinary team, leading a green field space strategically important to Amazon's next generation recommendations capabilities in understanding customer behavior. You will hone your skills in areas such as deep learning and natural language understanding, while building scalable industrial machine learning systems that handle billions of requests a day.
As a Sr. TPM, you will work in a highly collaborative team of engineers and scientists and lead the technical program management for key Personalization systems and CXs on Amazon. 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 cross-functional and remote project 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.
You will collaborate with teams and leaders across the entire company, including the most strategic programs, and gain exposure to many aspects of the Amazon business. You will be a part of a fast paced, growing research and development team.
Come join the team that will help define the future of personalization at the biggest internet retailer on earth!
About the team
Amazon’s Personalization organization is a group that leverages Amazon’s expertise in machine learning, big data, and distributed systems to deliver the best shopping experiences for our customers. We work full stack, from foundational backend systems to future-forward user interfaces. Our team’s culture is centered on rigorous experimentation and data-driven decision-making. We care deeply about our customers, as well as the well-being and growth of our team members. Amazon’s internal surveys regularly recognize us as one of the best engineering organizations to work for in the company, with visible high-impact work, low operational load, respectful work-life balance, and continual opportunity to learn and grow.
