GC AI is the legal AI platform built for in-house legal teams. Your decisions shape the product, your impact is immediate, and you own your work from day one.

More than 2,000 companies run their legal work on GC AI, including 200+ public companies, 25+ unicorns, and teams at News Corp, Nestlé, Miro, Bass Pro Shops, Snyk, Skims, Liquid Death, Vercel, Zscaler, and TIME. The platform holds an 80 NPS, more than double the B2B SaaS industry average, which is why GC AI is the leading legal AI platform for companies of all sizes.

GC AI doubled ARR in six months. We raised a $60 million Series B at a $555 million valuation in November 2025 and won #1 Highest Customer Satisfaction at the 2026 SaaS Awards. Our investors include Scale Venture Partners, Northzone, Sound Ventures, and Guillermo Rauch, CEO of Vercel.

You’ll define how things get built, not follow someone else’s playbook. Six principles guide how the team works:

📈 1% Better Every Day: small, compounding improvements across everything you ship.

❤️‍🔥 Customer Obsession: start with the customer and work backward.

🚀 Ship Today: bias toward action and iteration over perfection.

🧗 Find a Way: resourcefulness and ambition over constraint.

🤝 Care: be direct, like an honest friend, even when it’s uncomfortable.

🎯 Own It: full accountability, proactive communication, and attention to detail.

About The Role

We're seeking an exceptional Member of Technical Staff, Applied AI to help lead the development of our cutting-edge AI platform. This is a unique opportunity to shape how artificial intelligence transforms legal work. You'll be the technical cornerstone of our AI initiatives, working directly with our CTO (ex-Replit) and founding data engineer (ex-Lyft, Instagram and Plaid) to architect systems that push the boundaries of what's possible with LLMs in the legal domain.

Requirements

5+ years of software engineering experience, with 2+ years focused on AI systems.

Deep expertise in LLM implementation and optimization.

Strong track record of building production AI systems at scale.

Experience with modern AI frameworks and tools.

Proven ability to lead technical initiatives and mentor engineers.

Strong foundation in TypeScript and modern software architecture.

Nice to Have

Experience with RAG systems and LLM evaluation.

Familiarity with legal domain or legal text processing.

Track record of technical publications or open-source contributions.

Experience with multi-agent AI systems.