Company Name: Koah Labs

Job Details: $180k-$300k/yrRemoteFull,Time

Job Url: https://hiring.cafe/viewjob/ymv3t3i9kkiz7mm7

Job Description: Posted 3mo agoSoftware Engineer - Data / ML@ Koah LabsView All JobsWebsiteSan Francisco or United States$180k-$300k/yrRemoteFull TimeResponsibilities:build pipelines, tune latency, analyze metricsRequirements Summary:Experience in data systems and backend/frontend integration; strong SQL, performance tuning, and system design skills; experience with Ruby on Rails, React, TypeScript a plus.Technical Tools Mentioned:Ruby on Rails, React, TypeScript, Flutter, React Native, Android, iOS, PostgreSQL, ClickHouse, Redis, AWS, Grafana, Debezium
Who we areKoah Labs is building the ad network to power the next generation of AI-native products. Our mission is to help publishers monetize and help advertisers reach the right audience — without compromising speed, UX, or privacy.We’re a small, tight-knit team in San Francisco with backgrounds at X, Apple, and early-stage startups. We’ve raised $5.7M from top investors and are growing fast with real traction on both the publisher and advertiser sides.Working at Koah means joining at the ground floor: you’ll ship code that shapes the company and the ecosystem we’re building. We move quickly, operate with high trust, and care deeply about craft.ToolingInfra: Render (app + workers), AWS (RDS, S3, Kafka), Grafana for metrics and logsData: PostgreSQL (primary), ClickHouse (analytics), Redis (caching & rate limiting)Core Stack: Ruby on Rails, React, TypeScriptSDKs: Flutter, React Native, Android (Kotlin, Compose), iOS (Swift)We’re looking for engineers who like digging into systems and making them fast, reliable, and easy to operate. You’ll help us deliver ads quickly, track performance accurately, and scale the platform as we grow. We’re building systems that will soon operate at the scale of modern analytics platforms — high-volume, low-latency, and deeply queryable.Example projectsBuild data pipelines using Debezium to stream real-time changes from PostgreSQL to our OLAP database for analytics workloadsReduce p99 latency in critical write paths by optimizing SQL query execution plans, implementing robust retry mechanisms, and enforcing strict timeouts for third-party servicesTune conversion and clickthrough rate metrics in our core ad matcher from analyzing impression and click dataEnhance ad matching algorithms using regression analysis to identify data patterns and develop hypotheses for new predictive features that improve conversion likelihoodSet up experiment tracking and observability with logs and custom metrics that make it easy for us to understand why certain ads are chosenYou might be a fit if You like debugging and optimizing performanceYou are detail oriented and use data to support your claimsYou enjoy digging deeply and owning the platform side supporting productYou enjoy experimentation, measuring, and creating reliable systemsIf you're interested, please send an email to careers@koahlabs.com with your full name, email address, and resume.