5+ years of program or project management experience
- Experience using data and metrics to determine and drive improvements
- Experience owning program strategy, end to end delivery, and communicating results to senior leadership
Have you ever purchased a product on Amazon without checking its star rating and customer reviews? Every day, millions of Amazon customers read customer reviews to decide which products to buy. If you are interested in protecting the integrity of community content like customer reviews, come join the Community Risk team.
This is a strategic area of investment for Amazon and the work we do is of paramount importance in preserving the trust customers have in Amazon's stores. Our environment is dynamic and highly ambiguous as we continuously work to stay one step ahead of those who use various and changing methods to manipulate ratings and reviews.
Key job responsibilities
- Deep dive current process to identify gaps and use program management best practices to set a roadmap, execute and iterate to continuously improve
- Lead ambiguous and undefined problems to resolution in constantly changing, multi team-based environment, work backwards from customer needs to deliver high quality outputs
- Communicate effectively across multiple levels of organization, building trust, generate buy-in for the program vision both internally and with key external partners
- Define creative, high quality, simple program roadmaps based on program strategy and vision
- Work closely and collaboratively with design, program and product teams from partner organizations
- Delivering results in a fast-paced, ever-changing environment while driving teams to complete goals
A day in the life
We are seeking a Senior Program Manager, to build mechanisms that help the team to detect and eliminate fake reviews. This person will partner with cross functional teams in engineering, data science, legal and other groups to develop automated and manual detection systems and improve our process. You must have a desire to drive change, interpret data for action and constantly be aware that your actions can help improve the shopping experience for tens of millions of Amazon customers worldwide.
About the team
The Community Risk team builds and operate systems that safeguard trust in the Amazon content. We protect shoppers from untrustworthy content and contributors through machine-learned content filters, forensic relationship-detection systems, abusive behavior pattern detection, and investigator tools. We partner with product-development, quality and customer-service teams across the company to make content moderation efficient and effective, deep dive in abuse investigations and respond to customer contacts. Our charter also extends to tools and processes that enable content owners to enforce, manage, and update their policies in cases where sharing resources is necessary.
San Jose, CRI
- 2+ years of driving process improvements experience
- Master's degree, or MBA in business, operations, human resources, adult education, organizational development, instructional design or related field