Software Development Engineer

Job TitleThis is your chance to help build a billion-dollar business, innovate on AI powered advertiser workflows, and positively impact millions of ad experiences — all while working with industry-leading technologies. You will own the design and delivery of AI-first campaign creation system powered by Performance+ and Brand+ tactics for omni-channel ad buying across video, audio, and display. You will get opportunity to work on a mix of established and greenfield projects — updating our architecture to scale 10X for the future while advancing our AI Performance + and Brand + Tactics to solve more interesting problems for customers across the globe. You will get opportunity to work on creatives backend services to support AI-first omni-channel campaigns across video, audio, and display. You'll own features end-to-end — working directly with customers to scope requirements, design solutions, implement, test, and launch. Our systems serve advertisers at Amazon scale, and you'll be responsible for building and maintaining both the React/TypeScript frontend and Java backend services that power them.Key Job ResponsibilitiesCollaborate cross-functionally with product, UX, data science, and partner teamsDemonstrate operational excellence in all of your work.Be active in operational support for your team, and ensure that the root causes of operational issues are identified and resolved. Don't settle for the status quo, and routinely identify and execute on opportunities to improve your team's operations.Be active in the code review process on your team, providing meaningful feedback to others, including those who are more senior.About The TeamWe are focused on goal-oriented, AI powered workflows that help advertisers achieve their marketing objectives. We collect campaign goals, surface relevant data at key decision points, and provide reporting that validates decision-making. Our product suite guides traders in building campaigns with optimal targeting, creative formats, inventory, and bid models that are highly likely to hit their goals — reducing the need for manual intervention.