Teams at Tarro

Build and scale core data infrastructure and foundational datasets. Design, develop, and maintain scalable data pipelines for analytics, ML, experimentation, and product use cases. Implement data quality, audits, alerting, and anomaly detection. Partner with product, engineering, and business stakeholders and help establish long-term, scalable data architecture and tooling.

Build and own end-to-end features for a high-scale restaurant platform. Architect and scale systems, orchestrate AI agents, collaborate cross-functionally, travel to client sites, and support global teams while driving product-focused engineering outcomes.

Design, develop, and deploy end-to-end data science pipelines and predictive models. Collaborate with product, engineering, and business teams to run experiments, implement MLops best practices (CI/CD, versioning, monitoring), and deliver scalable solutions (including LLM/RAG workflows) that improve restaurant operations and business outcomes.