What you'll do
- Own and maintain the multi-provider ingestion pipeline ensuring reliability and data completeness.
- Ensure data quality and consistency across ingestion, processing, and downstream serving.
- Design and optimize async processing patterns to maintain high ingestion throughput at scale.
- Collaborate with upstream engineering to prepare data readiness for new product features.
- Build and maintain pipeline observability systems including dashboards and alerting.
What you should know
- Opportunity to define and build the first dedicated data engineering team at AirOps.
- Work with large-scale data processing involving millions of AI-generated answers daily.
- Role requires close collaboration with backend teams using Rails and Postgres.
- Expect to work in a fast-paced, hyper-growth environment with evolving product capabilities.
- Ideal for engineers passionate about data as a product, not just internal tooling.
About the company
- AirOps is a fast-growing startup focused on AI-driven content engineering for marketing teams.
- Backed by prominent investors like Greylock and Wing VC, indicating strong venture support.
- Company culture values extreme ownership, quality, curiosity, and respectful candor.
- Operates at the intersection of AI and brand intelligence, serving notable clients like Ramp and Carta.
- Distributed across San Francisco, New York, and Montevideo, fostering a diverse and dynamic environment.
Key required skills
ClickHouseData pipelinesETLDistributed job queuesRailsPostgreSQL