Founding backend engineer building Clipbook's AI-powered media monitoring platform, covering pipelines that ingest, normalize, deduplicate, and index multi-modal news, social, and policy data. Work includes production RAG and LLM systems, scalable APIs, and customer calls, on a stack of Python, Node.js, PostgreSQL, AWS/GCP, Docker/K8s, and CI/CD.
Clipbook builds AI-powered media monitoring and analytics tools for communications, PR, and public affairs teams. We help them track, search, and make sense of coverage across text, audio, and video.
We launched in 2023 and have grown to 200+ clients including BCG, Weber Shandwick, and dozens of government agencies. We bootstrapped to seven-figures in ARR before raising a $3.3M seed round (co-led by Mark Cuban). We plan to raise our Series A this year and we are aiming for eight-figures revenue by end of year.
Our founding team has backgrounds at BCG, Bain, Harvard, Stanford, Oxford, the White House, and Congress, and has previously built startups backed by Sequoia, Tiger Global, Insight Partners, Coatue, and NFX.
You'd be one of the first engineers at Clipbook — joining a small but mighty engineering team with engineers from Meta, Stripe, and AWS. You'll have real influence over architecture and technical direction, and what you build will ship to 200+ customers quickly.
We're hiring for the application and data layer. This probably isn't the right fit if your background is primarily in firmware, embedded systems, hardware engineering, networking, or infrastructure/DevOps.
Growth: A clear path to engineering leadership as we scale