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About the Role

Braintrust is seeking an individual to build and own the data systems that support business operations and internal systems. This hands-on, solo role involves architecture, pipelines, data modeling, metrics definition, dashboards, and addressing business questions. The ideal candidate will have strong technical depth, understand Go-To-Market (GTM) team operations, and be excited about building with AI to automate workflows and improve business operations.

Responsibilities

• Build and own core data models connecting product usage, accounts, customers, revenue, pipeline, billing, and customer health.
• Create trusted sources of truth for key business metrics including activation, usage, retention, expansion, pipeline, ARR, and usage-based revenue.
• Build pipelines integrating product telemetry, CRM, billing, customer success, marketing, support, finance, and AI-powered internal systems.
• Partner with Engineering and Product to enhance the quality, consistency, and usability of product data.
• Collaborate with Sales, RevOps, Marketing, and Finance to translate operational questions into durable data models and workflows.
• Develop dashboards, datasets, and self-serve reporting to enable teams to answer common questions independently.
• Utilize AI to accelerate personal work and identify opportunities for agent-driven automation in reporting, enrichment, QA, routing, research, and follow-up.
• Assist in designing the data layer for future AI-native business operations workflows, including context, inputs, feedback loops, and output evaluation.
• Improve data quality through testing, monitoring, documentation, lineage, and clear ownership.
• Support business planning by providing leadership with accurate visibility into customer usage, GTM performance, and revenue health.
• Make pragmatic tradeoffs between foundational architecture and urgent business needs.

Requirements

• 10+ years in data engineering, analytics engineering, data architecture, or business systems data roles.
• Excellent communication skills and ability to collaborate across technical and non-technical teams.
• Strong experience building data systems in developer tools, infrastructure, AI, or similar technical environments.
• Deep experience with SQL, data modeling, pipelines, orchestration, transformation, and production-grade code.
• Experience working across product telemetry, CRM, billing, customer health, marketing, support, finance, or other operational systems.
• Strong understanding of Go-To-Market (GTM) team operations, including Sales, RevOps, Marketing, and Finance.
• Deep curiosity about AI and a strong perspective on its impact on data engineering, analytics, and business operations.
• Hands-on experience using AI tools for coding, data analysis, workflow automation, documentation improvement, or operational task acceleration.
• Comfortable designing systems for human-agent collaboration, including data, context, guardrails, and feedback loops.
• Comfortable operating as the sole data hire in a startup, balancing architecture with immediate business needs.

Skills

• Data Engineering
• Analytics Engineering
• Data Architecture
• Business Systems
• SQL
• Data Modeling
• Pipelines
• Orchestration
• Transformation
• Production-grade code
• AI tools
• Workflow automation
• Data analysis
• System design

Location

• Remote

Work Type

• Full-time

Experience Level

• 10+ years

Benefits

• Medical, dental, and vision insurance
• Daily lunch, snacks, and beverages
• Flexible time off
• Competitive salary and equity
• AI Stipend

About the Company

• Braintrust is the AI observability platform.
• By connecting evals and observability in one workflow, Braintrust gives builders the visibility to understand how AI behaves in production and the tools to improve it.
• Teams at Notion, Stripe, and Vercel use Braintrust to compare models, test prompts, and catch regressions — turning production data into better AI with every release.

Equal Opportunity

• Braintrust is an equal opportunity employer.
• All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.