Jobs at Braintrust

Lead and manage a team of Customer Reliability Engineers to provide high-quality support for customer deployments, focusing on infrastructure issues and ensuring product reliability across all models.

The Data Engineer will own and optimize data infrastructure, manage pipelines, troubleshoot connectors, deliver analytics, and experiment with tools.

The role involves building high-performance UI tools for AI observability, focusing on user experience, UI architecture, and data analysis for developers.

The Enterprise Account Executive will develop sales strategies, engage technical teams, and manage the sales process including prospects, contracts, and customer retention.

The Customer Solutions Architect works with AI operations teams to deploy and manage Braintrust in production, providing technical support and solution design for AI evaluation workflows.

The Solutions Engineer will partner with the sales team, engage with customers to understand their needs, and deliver technical presentations while enhancing product documentation. The role requires interfacing with technical stakeholders and solving complex sales opportunities.

The Cloud Infrastructure Engineer will develop and maintain infrastructure using Terraform and Kubernetes, support multi-cloud deployments, and improve CI/CD processes.

The Enterprise Account Executive will build and own the sales process, close new business, and develop GTM strategy while engaging with technical audiences across the West region.

Develop open-source SDKs for AI observability, ensuring they are efficient, user-friendly, and well-integrated with major AI platforms while providing community support.

The Software Engineer, Systems will build core systems to process and query large volumes of unstructured data, contributing to storage, indexing, and optimizing query performance.

As a backend engineer, you will build AI development tools, design features for LLM performance insight, and manage data pipelines.

The role involves building open-source libraries for AI observability, focusing on developer experience and API design while engaging with the community.

The Design Engineer will enhance user experience in product development, collaborate with users and teams, and design a robust system for AI engineers.