About the role
Emergent builds autonomous coding agents that replace traditional software development by generating, testing, and deploying production applications directly from plain-language intent. Our systems run in production at global scale and are used to build millions of real applications.
Since public launch, Emergent has reached $100M ARR in 8 months. 6M+ users across 190+ countries have built 6.5M+ applications on Emergent. We've raised $100M+ , backed by Khosla Ventures, SoftBank, Google, Lightspeed, Prosus, Together, and Y Combinator.
We're solving the hard part of AI-driven software creation: correctness, reliability, security, and scale in real production systems. The team is built by repeat founders, Olympiad medalists, IIT & IIM alumni, and leaders from Google, Amazon, and Dropbox.
We're hiring builders who want ownership, speed, and impact at global scale.
What You'll Do:
- Design, build, and maintain robust, scalable data pipelines and infrastructure
- Develop ETL/ELT processes to collect, process, and curate structured and unstructured data from various sources
- Collaborate with data scientists, analysts, and product teams to understand data needs and ensure data reliability and accessibility
- Optimize data systems for performance, cost-efficiency, and scalability
- Ensure data quality, security, and compliance best practices are followed
- Implement and maintain data models, data lakes, warehouses (e.g., Redshift, BigQuery, Snowflake), and real-time streaming platforms (e.g., Kafka, Spark)
- Document systems and contribute to internal data engineering standards and playbooks
