• Own the backend services that deliver EDD predictions to merchants and internal consumers — APIs, caching, contracts, and reliability under production load. • Build Python services suited to high-throughput, low-latency workload. • Lead API design, service decomposition, and cross-team technical reviews for data product surfaces spanning rules automation, ML-based recommendations, analytics, and configuration systems. • Own reliability and observability across the services you build—instrumentation, alerting, runbooks, and incident response. • Partner with data science to bring model outputs into production—owning the API layer, serving infrastructure, and operational reliability of ML-powered features. • Build and maintain feature pipelines that bridge offline training and online inference, with an emphasis on consistency and data quality. • Establish MLOps foundations for the team: model deployment patterns, versioning, rollback procedures, A/B test infrastructure, and experiment tracking integrations. • Instrument ML systems for observability—latency, throughput, drift signals, and prediction quality—so issues surface before they reach merchants. • Evaluate frameworks, tooling, and architectural patterns for ML serving and make pragmatic recommendations grounded in production experience. • Set the technical direction for backend and ML systems on the Data Products team—proposing and driving architectural decisions that balance velocity with long-term maintainability. • Lead design reviews, raise the bar in code reviews, and establish engineering practices the team can follow. • Mentor other engineers on Software or ML engineering. • Apply AI tooling to your own workflow and share learnings with the team.

• As part of a cross-functional product team, contribute designs, code, tests, code reviews, and excellent judgment towards the development and continuous improvement of our digital platforms. • Participate in agile ceremonies and evolving development practices of the team. • Contribute to the overall platform architecture. • Ensure new work is delivered in alignment with said architecture. • Establish and support development processes. • Provide stewardship of the long-term sustainability of our platform and actively manage platform health and technical debt.

• Build new integrations end-to-end and contribute to the platform that supports them. • Spot patterns across integrations and pull them into shared abstractions so the next ten don't repeat the last one. • Work on more than the standard API-and-poll model: webhooks, callbacks, iPaaS bridges (Okta Workflows, Tines), and browser-driven flows where vendor APIs fall short. • Collaborate with cross-functional teams to ensure high-quality integration solutions.

• Manage complex customer issues and share your technical expertise to ensure timely, accurate solutions. • Engage with our customers through virtual meetings, chat, and email to manage their expectations, set priorities and resolve technical issues related to our products, including configuration and networking. • Work closely with our Product and Engineering teams providing customer feedback to help identify new features and functions. • Deliver excellence to our customers, our company, and our colleagues.