The Sr. Business Development Representative will identify and research high-value target accounts to generate qualified leads and support strategic sales goals. They will collaborate with internal teams to nurture opportunities through the sales pipeline and maintain accurate records in the CRM.
The Principal CSM manages the end-to-end relationship for strategic accounts, ensuring seamless onboarding and long-term growth. They collaborate with internal teams to drive value, mitigate churn, and identify expansion opportunities within the customer organization.
Interns will contribute to product features and participate in the full software development lifecycle, including design, testing, and deployment. They will work within a team to manage the technology stack from user-level APIs down to databases and queues.
The Chargeback Analyst will manage chargeback files, investigate fraud, and reconcile data across multiple payment processors to minimize financial losses. They will also support merchant onboarding and ensure compliance with company policies and card network regulations.
The Senior Technical Account Manager serves as the primary technical advisor for Latin American merchants, managing integrations and providing operational support. They work cross-functionally to troubleshoot issues, document best practices, and ensure successful delivery of integration milestones.
You will manage chargeback files and data across multiple payment processors to minimize losses and mitigate fraud risk. This involves conducting in-depth investigations, reconciling reports, and collaborating with cross-functional teams to ensure merchant compliance.
The Engineering Manager will lead a team of engineers to build and deploy next-generation machine learning models and services. They are responsible for fostering team growth, managing cross-functional stakeholder relationships, and ensuring operational delivery and technical rigor.
You will partner with business units to identify decisioning gaps and implement machine learning solutions to combat fraud. Additionally, you will build automation to reduce manual work and run experiments to optimize decisioning strategies.
The role involves building and deploying production machine learning models to identify fraud and optimize decisioning strategies. You will also identify opportunities for automation to reduce manual work and collaborate with cross-functional teams to improve system performance.
You will set the technical vision and long-term strategy for enterprise cloud infrastructure while driving the integration of AI-driven automation and self-healing systems. You will partner with cross-functional leaders to scale the platform, optimize cloud costs, and elevate the developer experience through robust CI/CD and infrastructure-as-code standards.
Lead and grow a team of machine learning engineers while fostering a collaborative and high-performing environment. Manage a portfolio of experimental workstreams to improve fraud and risk decision models while partnering with stakeholders to deliver clear business outcomes.
Design and deliver high-quality, scalable real-time systems and public-facing API platforms for retailer onboarding. Collaborate with cross-functional teams to address technical debt and mentor other engineers to improve technical standards.
This is not a specific job opening but an invitation to join a talent community. Members will receive email updates about the company and future job opportunities.
The Senior Machine Learning Engineer will own the end-to-end lifecycle of high-impact ML projects, from offline experimentation to production deployment. They will also collaborate with cross-functional teams to enhance fraud detection effectiveness and scale infrastructure.
