You will build and ship end-to-end features for fulfillment and servicing, including refunds and reverse logistics. You will also collaborate with cross-functional teams to deliver scalable, AI-native applications while maintaining high standards for system design and quality.
Translate data and analysis into business cases, pricing models, and financial narratives for prospective and existing merchants, supporting sales, renewals, and expansion. Work with Merchant Success, Product, and Engineering to deliver merchant insights, demonstrate ROI, improve products, and inform the product roadmap.
Lead and grow a remote team of analytics and data engineers while managing the technical standards for the dbt repository and Snowflake warehouse. Partner with cross-functional teams to model core business domains and ensure data reliability, consistency, and accessibility across the organization.
You will build and mature a merchant integration platform by designing transformation systems and anti-corruption layers to ensure consistent data flow. Additionally, you will own the reliability of the platform, mentor team members, and expand the event-driven architecture to support enterprise-scale integrations.
You will build and maintain financial models, invoicing logic, and automated reconciliation systems to ensure data accuracy across the platform. Additionally, you will partner with engineering teams to resolve data issues and support internal and external audits.
The Director of Financial Systems Engineering will own the reconciliation systems, invoicing logic, and financial data models to ensure automated, auditable traceability of revenue. This role involves leading a technical team and partnering across departments to manage merchant escalations and ensure financial controls are supportable by system architecture.
Lead a team to analyze large-scale data to identify fraud patterns and develop monitoring frameworks to mitigate emerging threats. Partner with cross-functional teams to optimize AI agent performance and translate findings into actionable model feature recommendations.
The Senior Manager, People Operations will partner with executive leadership on organizational design, workforce planning, and performance strategy. They will also own core people processes, manage internal communications, and mentor the growing People team to ensure scalable operations.
You will own the end-to-end machine learning lifecycle, including model development, experimentation, and production deployment to detect fraud. You will also collaborate with cross-functional teams to translate complex fraud patterns into scalable, production-grade ML solutions.
Lead and mentor a team of engineers to build scalable event-driven systems for claim servicing and fulfillment. Partner with product and operations leaders to define roadmaps and drive the adoption of AI-native development lifecycles.
The Fraud Operations Specialist will conduct real-time claim reviews and investigate fraud trends to detect bad actors and improve user experience. They will collaborate with cross-functional teams to refine risk models and ensure compliance with departmental procedures.
