Jobs at Braintrust

Design and build threat detection and response systems across cloud, CI/CD, identity, endpoint, Kubernetes, and agentic environments. Own security telemetry and alert pipelines, lead incident response and on-call activities, conduct threat hunting, manage vulnerability response, and develop trustworthy AI agents for alert triage and evidence gathering. Improve detections, remediate threats, and document incidents through actionable postmortems.

Build and own Braintrust’s billing systems, including usage metering, subscriptions, entitlements, invoicing, credits, payments, reconciliation, and observability. Design scalable billing architecture, accurately measure product usage, support pricing models, and develop internal tools and customer-facing workflows. Partner with product, infrastructure, finance, and customer teams while maintaining billing correctness and customer trust.

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.

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 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.