Amazon's Sponsored Products advertising business is one of the fastest growing areas in the company. Have you ever wondered what happens behind that Sponsored label you see in search results on Amazon?
Hint : it involves a lot of interesting tech delivered by a great team.
The Sponsored Products team optimizes budget recommendations for advertisers to ensure they do not miss out on opportunities to advertise their products under the Sponsored label.
We do this using a combination of data-driven product innovation, machine learning, big data analytics, and low latency / high-volume engineering.
The business and technical challenges are significant. Fortunately, we have a broad mandate to experiment and innovate, and a seemingly endless range of new opportunities to build a big, sustainable business that helps Amazon continuously delight our customers.
We're looking for curious and customer-obsessed software engineers who can help us take our products to the next level. We embrace leaders with a startup mentality those who seek a disruptive yet clear mission and purpose, have an unambiguous owner's mindset, and are relentlessly obsessed with delivering amazing products.
Key job responsibilities
As a Software Engineer on our team, you will be responsible for delivering innovative, machine-learning systems that provide recommendations to advertisers to help improve their ad campaigns and get better results.
Make decisions, experiment and iterate on solutions.
You'll own significant products and features from design through launch, and will work with product managers, scientists and other engineers to make your efforts successful.
If this sounds like your sort of challenge, come and join our team.
A day in the life
You will contribute to product ideation, design, delivery, experimentation, launch decisions and operations. By working closely with our business leaders, PMs, and Scientists you will unlock valuable skills that will enhance your career.
About the team
We are customer obsessed. We use data analysis, math, stats, and machine / deep learning to uncover opportunities, and use our software engineering skills to deliver high-quality, low ops burden software.
Our team is humble, we work well individually, we work well as a team, and we get results. We're always looking for like-minded people to join us and contribute to the success of the team, while you develop as an individual contributor.
Amazon is committed to a diverse and inclusive workplace.