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 Solutions Engineer will collaborate with the sales team to engage customers technically, deliver presentations, and contribute to product documentation and enablement materials.

The Enterprise Account Executive will prospect and close new business, develop GTM strategy, and manage customer accounts, with a focus on technical sales.

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.

Responsible for prospecting and closing new business in the East region. Develops GTM strategy, manages sales process, and engages technical teams.

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.