
Founding Data Engineer
Braintrust4 months ago
Responsibilities
- Define business entities, metrics, semantics, schemas, and trusted metric definitions for Product, Finance, and go-to-market teams.
- Design and build core data models using SQL and dbt.
- Build and own ingestion pipelines from product events, CRM, vendor APIs, webhooks, and other business systems.
- Make architecture decisions covering storage, orchestration, transformation, governance, and reliability.
- Build semantic models and self-serve analytics so stakeholders can query trusted metrics independently.
- Partner with Product and Engineering on usage data and event schemas.
- Maintain data quality, access controls, lineage, monitoring, debugging, and traceability across the data path.
- Work directly with executives and functional leaders to clarify requests, explain data systems, and negotiate priorities.
- Use AI to accelerate development while keeping the data foundation clean, documented, and reliable for AI tooling.
Requirements
- Experience defining business entities and metrics and building the models behind them.
- Strong command of SQL and dbt.
- Experience with a cloud warehouse such as Snowflake or an equivalent and an orchestrator such as Dagster or Airflow.
- Ability to write and maintain production code and own data pipelines end to end.
- Strong judgment regarding data modeling, schema evolution, contracts, and lineage.
- Strong debugging ability across multi-system data paths.
- Ability to work directly with executives and functional leaders.
- Comfort operating as the only data hire and balancing foundational architecture with urgent business needs.
- Preferred experience building a data foundation from scratch, working at a startup or as an early data hire, and supporting Product, Finance, and go-to-market functions.
- Preferred familiarity with usage-based pricing, consumption models, PLG-plus-sales-assisted funnels, Braintrust’s stack or close equivalents, and agents for internal workflows and analysis.
Benefits
- Medical, dental, and vision insurance.
- Daily lunch, snacks, and beverages.
- Flexible time off.
- Competitive salary and equity.
- WiFi and cellphone stipend.
About Braintrust
Braintrust builds an AI observability and evaluation platform for teams deploying LLM-powered applications. It unifies evals and production monitoring to compare models, test prompts, catch regressions, and turn real usage data into better releases; it can be self-hosted or used as a managed service. Customers include Notion, Stripe, Zapier, Vercel, and Ramp, and the software is sold by subscription to engineering and data teams.