The business and technical challenge - Can you envision building Machine learning models based on behavioral patterns for business customers? Can you devise innovative experiments to learn from those customers and iterate? Can you think of scaling the positive ones to produce Amazon level impact? Can you invent new techniques and technologies that will move the needle on customer acquisition and adoption efforts? Can you inspire a team of strong SDEs and Product managers with your vision? If we piqued your interest, this may be the right opportunity for you.
Amazon Business, is a fast growing group within Amazon focused on bringing the Amazon experience to millions of businesses. Our Customer Acquisition and Growth team is chartered to identify prospective business customers, personalize on-site nudges to them, and deliver the message through appropriate channels such as notification panels and site overlays. In addition, the team is expanding its charter to nudge current customers to use all our selection, features, and user management solutions. We use advanced ML and Data science techniques to provide the best advice to our customers that save them time and money. The job involves a thorough understanding of onsite customer behavior analysis, customer engagement techniques, a spirit of rapid innovation, and results oriented experimentation. We have an ambitious goal to accelerate our business velocity through automation. You are the leader to help us achieve that.
What technologies do we use?
We use Machine Learning (supervised and unsupervised learners) to identify prospective business customers and identify attributes to personalize nudges.
We use AWS services (Redshift, DynamoDB) and in-houseAmazon technologies and website frameworks to create immersive user experiences.
What do our Software Development managers do?
They work closely with Product Managers, Sales, and Marketing teams and other technical teams in designing experiments involving target customers, testing personalized messages on various channels. They are driven by data and metrics to decide which experiments are successful. They scale up these experiments and create a sustainable new channel for customer acquisition and move on to the next set of experiments. They are not bothered by failures but adapt the Amazon mantra of "Fail and Learn fast, Get results, and Scale faster".
If what we have described appeals to you, we would love to hear from you.