Founding Full-Stack Software Engineer
Company: Clipbook
Location: New York, NY (Remote)
Salary: $150,000 - $220,000 a year
Type: Full-time
Remote: Yes
Posted: 2026-03-26
About this role
## About Clipbook
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.
## The Role
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.
## What You'll Do
- **Architect & build across the stack.** Make architectural decisions and implement solutions across the stack (Next.js, TypeScript, React, Python, Node, SQL/NoSQL). You have the conviction to quickly build from concept to deployment to seeing clients love our product.
- **Collaborate with customers.** Work directly with users to understand pain points, join calls, hear what's working and what isn't, and rapidly iterate to deliver solutions that matter.
- **Tackle a wide breadth of engineering challenges.** Our work spans AI, data engineering, backend, frontend, and more — so there's plenty of opportunity to find projects that match your strengths and interests. Some examples include:
- AI/ML Integration: Productionize LLMs and classical ML models for real-world, high-uptime applications — including prompt execution, embeddings, RAG pipelines, and agentic systems. Leverage the latest in generative AI tooling and frameworks.
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