Senior Data / Product Engineer
Location : San Francisco, CA (In-person)
Compensation : $150K-$220K + 1-2% equity
Visa Sponsorship : Available for exceptional candidates
About KOA Labs
KOA Labs is building the monetization layer for AI. We're creating the ad network for generative AI applications , helping developers seamlessly integrate contextual ads that capture value from free users without disrupting user experience.
Founded in 2024, KOA is tackling the $1T+ advertising industry by enabling AI-native monetization and accelerating the creation of AI applications. With a lean team of
Learn more : www.koahlabs.com | KOA Labs on LinkedIn
Why Join Us
At KOA, you'll join a high-caliber, mission-driven, and fun team where engineers own projects end-to-end. You'll work on systems that soon will operate at the scale of modern analytics platforms - high-volume, low-latency, and deeply queryable . Every line of code you write will contribute directly to defining the future of AI monetization.
What You'll Work On
Example projects you might own :
- Building real-time data pipelines with Debezium to stream changes from PostgreSQL to ClickHouse for analytics.
- Reducing p99 latency in core write paths by optimizing SQL execution, implementing retries, and enforcing strict timeouts.
- Designing algorithms to tune CTR and conversion metrics in our ad matcher from impression / click data.
- Running regression analysis to improve predictive ad matching features .
- Setting up experiment tracking and observability tooling with logs and custom metrics.
Our Stack & Tooling
Infra : Render (app + workers), AWS (RDS, S3, Kafka), GrafanaData : PostgreSQL (primary), ClickHouse (analytics), Redis (caching / rate limiting)Core Stack : Ruby on Rails, React, TypeScriptSDKs : Flutter, React Native, Android (Kotlin, Compose), iOS (Swift)Who We're Looking For
You might be a fit if you :
Enjoy debugging and optimizing system performance .Are detail-oriented and back decisions with data.Like owning platform projects that support product teams.Thrive in experimentation, measuring, and building reliable systems.Want to move fast while keeping reliability top-of-mind.Requirements
3-5 years of experience as a fullstack or data engineer at a startup with large-scale data systems.Experience with both batch and real-time data processing .Strong background in data infrastructure, feature engineering, and ML platform pipelines .Exposure to Kafka, ClickHouse, Redis , or similar tools.Solid CS fundamentals (degree in CS / STEM or equivalent experience).Strong full-stack knowledge, from backend infra to data pipelines.Comfort working in a fast-paced startup environment .Compensation & Perks
Salary : $150,000 - $220,000Equity : 1-2% ownershipIn-person collaboration in San Francisco officeVisa sponsorship available for exceptional candidatesReporting
You'll report directly to : Mike Choi (LinkedIn)