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As a Technical Account Manager at dbt Labs, you will assist customers in maximizing the value from their dbt Cloud deployment. You will lead technical discussions, monitor customer account health, and increase customer satisfaction through strong relationships and effective communication of new products and features. Your role also includes contributing feedback for product improvements and participating in creating external content.

In this role, you'll collaborate with teams to design and implement a platform for running dbt in dbt Cloud, focusing on backend development and core infrastructure using Golang and Python, while ensuring security and responsible data handling practices.

As a Senior Software Engineer on the Cloud Config team, you will collaborate with internal partners and product teams to design integrations, implement enterprise-grade features, and manage systems at scale using various tools and programming languages.

As a Solutions Architect at dbt Labs, you will evaluate, implement, and promote the use of dbt for enterprise customers. Your responsibilities include designing data pipelines, collaborating with the sales team, guiding customers through implementations, managing product adoption, and contributing to the dbt community.

As a Senior Technical Writer at dbt Labs, you'll create and maintain user-facing documentation, collaborate on content for new features, review community contributions, and lead initiatives to improve documentation strategies. You'll work with product managers and engineers to enhance the user experience.

The Senior Technical Recruiter will lead the full-cycle hiring process for technical roles, focusing on building diverse talent pipelines globally. Responsibilities include partnering with hiring managers, executing a high-touch candidate experience, using data-driven decision-making, and collaborating on diversity and employer branding initiatives.

The Principal Product Manager at dbt Labs will lead cross-functional teams to guide products from ideation to launch, focusing on expanding product offerings for data analysts and enhancing existing features while considering user requirements and market dynamics.