Enabling Amazon's explosive growth requires top talent in our Amazon Buyer Risk Technologies. Amazon is seeking a Software Development Manager to lead a technical team within Payment Risk Engineering, focused on two critical areas: (1) automating the launch of new countries, payment methods, and store concepts, and (2) feature engineering for ML models used in our fraud evaluation pipeline.
Our organization is building secure buyer risk and fraud prevention systems that need to scale to the exponential growth in Amazon products. We are leveraging machine learning to build systems that understand our account holder's behavior and can detect changes in that pattern. We are building systems that leverage unique storage systems such as graph database technologies. We are building on a sophisticated rules management platform to give our machine learning scientists and investigators control over risk calculations.
As a leader in this space, you will drive the adoption of Generative AI to accelerate how we build and ship fraud prevention capabilities. This includes leveraging GenAI to automate feature creation for our ML models — from feature discovery and proposal through validation and integration into the fraud evaluation pipeline — as well as using GenAI-powered tooling to reduce the manual effort required to onboard new marketplaces, payment methods, and store concepts. You will set the vision for how GenAI transforms our engineering workflows and empower your team to stay at the forefront of these technologies.
Because you take pride in setting the standard for engineering excellence, you are a hands-on, pragmatic problem solver that easily balances trade-offs between competing interests. You thrive in a fast-moving team environment where you are able to juggle complex dependencies and requirements while producing optimal solutions. Ambiguity and creativity are both expected and the norm.
We make the world a better place by finding the bad people, and make it easier for normal sellers and buyers to conduct their business.
Basic Qualifications
- 7+ years of engineering experience
- 3+ years of engineering team management experience
- 8+ years of leading the definition and development of multi tier web services experience
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
- Experience partnering with product or program management teams
Preferred Qualifications
- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers
- Experience leading and influencing your team or organization, or experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware
- Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience as a mentor, tech lead or leading an engineering team
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