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As a Solutions Architect, you will evaluate and implement dbt for enterprise customers, guide proof-of-concept trials, and deploy dbt Cloud in private environments. You will communicate the product's value, manage the customer lifecycle, and collaborate with partners on their adoption of dbt, all while fostering community relations.

The Cloud Network Engineer will design, implement and manage dbt Lab's cloud network infrastructure, focusing on resilience and scalability across AWS and Azure. Key responsibilities include troubleshooting network issues, automating tasks, and collaborating with various teams to optimize network services. The role also involves configuring VPCs and improving documentation while safeguarding secure connections to client data warehouses.

The Onboarding Manager will oversee the onboarding experience for dbt Labs' largest accounts, ensuring successful product adoption and a smooth customer journey. Responsibilities include collaborating with various teams, managing account setup, and utilizing customer feedback for process improvements.

In this role, you'll collaborate with product teams, implement third-party integrations, and monitor scalable systems. You'll work with various programming languages and technologies to enhance the product experience for users and support diverse integrations.

As a Senior Frontend Engineer, you will collaborate with product designers and managers to develop user-friendly interfaces, optimize front-end performance, and ensure code quality. Your role involves leading front-end development, engaging with users for feedback, and advocating for best practices in design and functionality.

As a Mid-Market Account Executive, responsibilities include managing the full sales cycle, organizing POC implementations of dbt Cloud Enterprise, contributing to sales process improvements, collaborating on the enterprise roadmap, and becoming proficient in SQL and dbt.

The Senior Software Engineer will lead the development of dbt adapters, ensuring integration with various data warehouses. Responsibilities include designing, testing, deploying software, mentoring team members, and collaborating with the OSS community to enhance data transformation capabilities.