• Own full features across payments and monetization, from definition through deployment • Build and improve systems for checkout, subscriptions, billing, and plan management • Work across backend and frontend to deliver a seamless purchasing experience • Integrate and evolve third-party payment providers so they feel native and reliable • Prototype quickly and learn through iteration • Debug and test your own code to ship safely and quickly • Use AI tools to improve development speed and explore new approaches • Collaborate with product and design to improve conversion and revenue • Drive simplicity, clarity, and speed in all your builds • Participate in incident response and help resolve production issues tied to payment systems

• Design, implement, train, and refine AI/ML models and decision logic for adaptive or generative software applications. • Develop software frameworks, runtime components, APIs, and integration layers to connect AI/ML capabilities with larger system architectures. • Build and maintain training workflows, evaluation harnesses, preprocessing pipelines, and dataset tooling for simulated and operationally relevant environments. • Support model evaluation against technical performance metrics and help analyze results from simulation and test environments. • Containerize software components and prepare runtime packages for automated test and evaluation execution. • Contribute to scalable software architecture, configuration management, experiment tracking, and code quality practices. • Refactor and harden software for production-quality use, including modular design, logging, error handling, documentation, and test coverage. • Support technical reviews, development planning, integration activities, and customer-facing engineering discussions as needed. • Produce technical documentation, including architecture overviews, setup instructions, interface descriptions, deployment guidance, and lessons learned. • Collaborate closely with multidisciplinary teams, including AI/ML engineers, software developers, communications or signal-processing specialists, system architects, and test teams.

• Lead and contribute to features across the billing stack: subscription management, payment processing, entitlements, invoicing, and internal tooling • Write, review, and maintain Go/Golang backends and TypeScript/React frontends — including unit, integration, and e2e tests • Architect and specify systems with enough precision that AI-assisted implementation produces correct, reviewable output • Work within a cross-functional team alongside product, design, and data engineering • Own features through their full lifecycle: design, implementation, deployment, and production operation • Handle ad-hoc internal billing support requests across the company

• Own and evolve the infrastructure supporting Billing Platform services: compute, storage, networking, CI/CD, and observability • Design and maintain IaC (Terraform) for billing system infrastructure on AWS; set module patterns and standards for the team • Build and own observability systems — metrics, logging, alerting — with a focus on billing accuracy and payment reliability • Define deployment patterns and runbooks that work well in an AI-agent-assisted development workflow: clear rollback procedures, safe promotion gates, automated validation • Partner with software engineers on service design — bringing infrastructure constraints and operational requirements into the conversation before code is written • Identify systemic risks and drive improvements that span team or organizational boundaries • Lead incident response for billing system issues; own the on-call rotation and postmortem process • Mentor engineers across the team; your technical judgment should raise the floor for everyone