ADCI
Software Development, selling partner services
SoftwareDevelopmentManager,PaymentRiskEngineering
Neural analysis suggests this role is
optimal for Manager candidates.
“Software Development Manager, Payment Risk Engineering at ADCI. Skills: Payment Risk Engineering, Machine Learning, Generative AI. Automate launch of new countries. Automate launch of payment methods”
Industry & Context.
Pragmatic problem solver; Balance trade-offs; Juggle complex dependencies; Produce optimal solutions
What They're Looking For.
Must Have
7+ years engineering experience, 3+ years engineering management, 8+ years leading web services development, Knowledge of engineering practices, Experience partnering with product management
Nice to Have
Experience communicating with users, Experience recruiting and hiring engineers, Experience mentoring engineers, Experience leading teams, Experience developing LLMs in production, Experience as a tech lead
What You'll Do.
Automate launch of new countries
Automate launch of payment methods
Automate launch of store concepts
Engineer features for ML models
Build buyer risk systems
Build fraud prevention systems
Leverage machine learning
Build systems detecting behavior patterns
Build systems using graph databases
Build systems using rules management
Drive adoption of Generative AI
Accelerate fraud prevention capabilities
Automate feature creation for ML models
Onboard new marketplaces
Onboard payment methods
Onboard store concepts
Transform engineering workflows
Solve pragmatic problems
Juggle complex dependencies
Produce optimal solutions
How You'll Work.
Team & Collaboration
Partnering with product management; Communicating with users; Communicating with technical teams; Communicating with senior leadership
Full Job Description
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
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