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
What We're Looking For:
3+ years of experience in a data engineering or similar backend role
Proficiency in Python, SQL, and one or more data orchestration tools (e.g., Airflow, Dagster, Prefect)
Hands-on experience with cloud data platforms (AWS, GCP, or Azure)
Familiarity with data modeling, warehousing concepts, and distributed systems
Strong understanding of data governance, privacy, and security principles
Experience with tools like dbt, Kafka, Spark, or similar technologies is a plus
Bonus: background in ML pipelines, MLOps, or DevOps practices
Why Join Us: This isn't a traditional analyst position. You'll be pioneering analytics in the emerging field of agentic AI, where your work directly shapes how we understand and optimize AI agent performance. You'll have the opportunity to:
Be among the first analysts to define metrics and frameworks for agentic AI systems
Work with cutting-edge technology while solving novel analytical challenges
Have direct impact on product decisions with your insights driving feature development
Shape the future of how businesses measure and optimize AI agent effectiveness
Benefits and Perks:
Daily Meals: Lunch and Dinner provided
Family Insurance: 3 Lakhs worth of coverage for you and your family
Unlimited Paid Time Off: Take the time you need to recharge and come back refreshed
Flexible Working Hours: Work arrangements that fit your life and commitments
Let's build the future of software together.