David Joseph & Company · San Francisco, CA, United States
Skills: React, TypeScript, Python, Ruby, SQL, AWS
San Francisco, CA · Hybrid · Full-time Compensation: $180K to $250K base
About the Company
Our client is a well-funded, early-stage company backed by top-tier investors, building an ad network designed for AI-native products. Traditional banner and video ads do not work inside conversational interfaces, so they have built ad formats and targeting made for GenAI environments: publishers monetize free users without hurting the experience, and advertisers reach high-intent users one-to-one. The team is small, scrappy and builder-focused, with strong ties to the indie developer and founder community.
Founded 2024 · ~20 people · Industry: Ad Tech, AI, Marketing
The Role
You would join a backend engineering team of five to six people as the sixth or seventh engineer. The work is broad and ownership is high: you take ambiguous business problems, such as improving return on ad spend, break them into projects you lead, and ship them. The core systems are a real-time auction and ad-decisioning pipeline, the data models underneath it, and the abstractions that define what an ad can be inside a conversation.
What you'll be doing
Ship foundational backend code and own production services from design through operation Build and evolve relational data models and schemas for transactional systems Design the abstractions behind new ad formats for conversational AI Improve the real-time auction and ad-selection systems that drive publisher revenue Work across the stack where needed; there is no rigid team split
Tech stack: Ruby on Rails, PostgreSQL, ClickHouse, Redis, Kafka, Python, TypeScript, React, Terraform, AWS, Tailscale, Cloudflare
Requirements
A track record of owning backend services end to end, having carried them through the full development lifecycle more than once At least 3 years as a backend engineer, with the kind of production ownership typically found at the senior level Solid relational data modeling and schema design on transactional databases, with strong SQL and the abili…
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