GC AI Member of Technical Staff, Applied AI

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 2000 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.

Youll define how things get built not follow someone elses 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 its uncomfortable.

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

About The Role

Were 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. Youll 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 whats possible with LLMs in the legal domain.

• 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.