Data Engineer
On-siteNew York City, New York, United States or San Francisco, California, United States
Job Summary
Data Engineer needed to build and own the core data models connecting product usage, accounts, revenue, pipeline, billing, and customer health. You will create trusted sources of truth for metrics, design data pipelines across product telemetry, CRM, billing, customer success, marketing, support, finance, and AI-powered internal systems, and develop dashboards and self-serve reporting. The role requires balancing foundational architecture with urgent business questions, collaborating with Product, Engineering, Sales, RevOps, Marketing, and Finance, and bringing a strong data- and AI-oriented perspective to operational workflows. You will work as the sole data hire initially in a startup environment, contributing to data quality, governance, and the design of future AI-native business operations. A successful candidate will have deep experience building data systems, a strong point of view on how AI will change data engineering and business operations, and the ability to translate complex questions into durable data models and workflows.
Required Qualifications
- 10+ years in data engineering, analytics engineering, data architecture, or business systems data roles
- Strong SQL
- Data modeling
- Pipelines/orchestration
- Experience with product telemetry, CRM, billing, customer health, marketing, support, finance or other operational systems
- Excellent communication across technical and non-technical teams
- Hands-on experience with AI tools in work to write code, analyze data, automate workflows, or accelerate tasks
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