Responsibilities
- Architect and develop foundational backend systems and integrations that drive product functionality
- Design and construct the organization's data platform, including pipeline orchestration and developer workflows
- Develop scalable solutions for ingesting, transforming, and providing access to data
- Build robust data models and APIs capable of handling significant growth
- Make thoughtful choices around database schemas, indexing, migrations, and system performance
- Manage infrastructure supporting data and artificial intelligence workloads, including containerization and cloud resources
- Empower engineering and product teams with self-service data capabilities
- Enhance monitoring, system reliability, and performance across the data technology stack
- Support artificial intelligence and machine learning systems involving embeddings, vector data, and model pipelines
- Create tools for processing documents, managing metadata, and standardizing data formats
Benefits
- Help establish the core infrastructure of a product built natively on artificial intelligence
- Take on significant ownership with measurable impact on outcomes
- Collaborate at the intersection of data systems, platform engineering, and artificial intelligence
Work Arrangement
Hybrid — NYC, US Remote
