Jobs at Braintrust

Provide customer-facing support for hybrid and self-hosted deployments across AWS, Azure, and GCP. Debug Kubernetes, Terraform, networking, IAM, TLS, backend performance, databases, and object stores. Lead incident response, submit infrastructure and backend fixes, build diagnostic tooling, maintain runbooks, and participate in on-call support. Collaborate with Cloud Infrastructure, Engineering, Developer Support, and Product teams to resolve recurring customer issues.

Build and lead Braintrust’s post-sales organization across Professional Services, Technical Account Management, and Technical Enablement. Own onboarding, implementation, adoption, renewals, GRR, NDR, team development, delivery, pricing, packaging, playbooks, and post-sales P&L. Serve as a player-coach by personally scoping engagements, writing SOWs, leading customer delivery, and supporting strategic accounts. Partner with Sales, Finance, Customer Experience, and Engineering to improve retention, expansion, customer outcomes, and product feedback loops.

The role involves building tools for engineers, improving CI/CD processes, optimizing deploy pipelines, and enhancing developer workflows.

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

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

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.

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

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

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