Jobs at GT

Support Implementation Managers in customer onboarding and implementation coordination. Assist with UAT, testing, training preparation, documentation, and customer-facing enablement. Track implementation progress, manage follow-ups, coordinate across internal teams, and help ensure smooth adoption of Vodori's platform for enterprise life sciences customers.

Lead front-end engineering and QA teams to deliver a front-end modernisation on a high-traffic ecommerce platform, ensuring stability, performance, predictable delivery, strong testing practices, and stakeholder alignment.

Design, build, and maintain scalable ETL/ELT pipelines and dbt models to ingest, transform, enrich, and ensure quality of firmographic data. Support entity resolution/matching, monitor pipelines with alerts and metrics, collaborate with product and data teams, and document standards for maintainability.

Lead end-to-end development and productionisation of time-series forecasting ML solutions: design, train, deploy models, build cloud-native data pipelines, collaborate with stakeholders, and monitor model performance to optimise clinic scheduling and staffing.

The Account Executive will lead complex enterprise sales cycles, focusing on building business cases and driving new revenue in life sciences organizations.

As an Account Executive at Vodori, you will lead enterprise sales cycles targeting pharma and medtech accounts, focusing on business case development and closing high-value deals through collaboration with internal teams.

Lead technical architecture and engineering quality for a greenfield AI-powered data intelligence platform. Design scalable backend services, data flows, Databricks-based pipelines, and agent-enabled features. Provide hands-on technical leadership, mentorship, code and architecture review, and collaborate with product stakeholders to deliver maintainable, testable solutions.

The Senior Data Engineer will design, maintain, and optimize data pipelines using Azure Data Factory and dbt while ensuring data quality and integrity.