Teams at Kard

Designs and builds scalable backend services for transaction matching, offer ingestion, rewards pipelines, APIs, and partner integrations. Owns features through discovery, implementation, testing, rollout, and documentation. Participates in on-call and incident response, improves reliability and observability, mentors engineers, contributes to architecture, and leads cross-functional technical initiatives. The role uses Go, TypeScript, Postgres, MongoDB, AWS, Terraform, Kubernetes, event-driven systems, and AI-assisted development tools.

Design, build, deploy, and operate production machine learning systems for personalization, recommendations, optimization, decisioning, experimentation, and measurement. Build reusable ML platforms, pipelines, and tooling; manage model monitoring, quality, drift detection, retraining, governance, and reliability. Partner with data scientists, engineers, and product teams to productionize models, make architectural decisions, and provide technical leadership through mentorship, reviews, and engineering standards.

Lead and develop a 12-person multidisciplinary data organization spanning data engineering, analytics engineering, data science, machine learning engineering, and support. Set technical direction for the data platform, improve scalability and reliability, automate workflows, guide architecture, and integrate data and machine learning capabilities into products. Establish priorities, support go-to-market teams, manage performance and career development, hire effectively, and collaborate with Engineering, Product, and company leadership.