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Lead development of scalable data products for Revenue: design dbt models, metrics, dashboards, governance, and AI enablement. Drive data architecture, quality, lineage, documentation, and automation; mentor analysts and align stakeholders to deliver reliable revenue analytics and reporting.

Design, train, and productionize underwriting ML models for real-time transaction decisions. Build feature pipelines and training datasets, run experiments, integrate models into batch/real-time systems, and monitor data and model health while collaborating with cross-functional teams.

Build and iterate underwriting ML models for real-time transaction decisions. Develop feature pipelines and training datasets, prototype and evaluate models, productionize into batch or real-time systems, and instrument model/data health, retraining, and monitoring. Collaborate with engineering, risk, product, and ML platform teams to deploy robust, low-latency solutions with appropriate risk controls.

As a Senior Software Engineer, you will build scalable systems and data pipelines for consumer credit reporting, drive strategic outcomes, shape architecture, and mentor team members while ensuring operational excellence.

As a Senior Software Engineer, you will build scalable systems, mentor engineers, and ensure high availability of data pipelines, collaborating with cross-functional teams.

The Senior Director will lead Affirm's retail sales organization, ensuring strategic partnerships, managing teams, and driving revenue through key merchant relationships.

Work on Servicing International building purchase protection (disputes/refunds) and agent tooling. Contribute to web apps and backend APIs, collaborate with global teams, participate in on-call rotation, ship reliable scalable solutions, and engage in code reviews and growth activities.

Lead design and delivery of a reliability platform for production systems. Own quarterly goals, guide engineers through ambiguity, collaborate with PM/design/analytics, monitor and operate services (on-call), set quality and code standards, and mentor teammates. Integrate AI/LLM tooling to improve automation, debugging, and service health.

Lead and deliver quarterly goals for a backend team building low-latency payment and ledger systems. Design, implement, and operate scalable backend services, collaborate with product/design/analytics, own on-call and availability, set code/design standards, and mentor engineers.

Lead delivery for the Batch Infrastructure team: design, build, and operate reliable, scalable compute platforms for scheduled and on-demand batch workloads. Collaborate with product/design/analytics, define technical plans, ensure availability (monitoring/on-call), set code and design standards, and mentor engineers to improve delivery and quality.