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Build and own the companys core data foundation: design data models, pipelines, and trusted metrics connecting product usage, accounts, billing, and revenue. Partner with Product, Engineering, and GTM teams to improve data quality, create self-serve reporting, and automate workflows using AI. Balance foundational architecture with urgent business needs and enable consistent definitions and visibility across Sales, RevOps, Marketing, Finance, and Product.

Provide hands-on developer support for Braintrust's AI observability platform: debug Python/TypeScript integrations, reproduce bugs, collaborate with Engineering, own developer communications, write docs and tooling, participate in on-call rotations, and feed product feedback to improve developer experience.

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 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 Enterprise Account Executive will lead sales efforts in the Central Region, driving new business and managing customer relationships, particularly with technical teams.

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

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

Responsible for prospecting and closing new business within the Central region. Develop GTM strategy, engage with potential customers, and navigate complex sales cycles with technical teams.

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