GC AI is the fastest-growing and most trusted legal AI platform for in-house legal teams. We're building the future of legal work, and we're doing it fast. You'll join at a pivotal moment—when decisions matter, impact is immediate, and the runway to shape your career is wide open. We’re a high-performing team where you'll have real ownership and influence from day one.
More than 1,800 companies use GC AI to drive their business forward, including 150+ public companies, 25+ unicorns, and brands such as News Corp, Miro, Bass Pro Shops, Snyk, Skims, Liquid Death, Vercel, Zscaler, and TIME.
We've 10x'd revenue in 12 months, raised a $60 million Series B ($555 million valuation), and are growing faster than ever. We are backed by incredible investors, including Scale Venture Partners, Northzone, Sound Ventures, and Guillermo Rauch, CEO of Vercel.
If you thrive when the stakes are high and the path isn't paved, you'll love it here. Our six guiding principles are: 1% better every day, customer obsession, ship today, find a way, care deeply, and own it completely. Come shape the future of legal work with us.
About The Role
As a Member of Technical Staff (MTS), Growth Engineering, you’ll be building the foundation for how we scale. This is a highly entrepreneurial role where you’ll blend engineering, data, and creativity to unlock new growth channels and accelerate the adoption of our AI platform.
You’ll collaborate closely with our founding team, shaping both our growth strategy and the technical systems that bring it to life. Your work will directly drive user acquisition, retention, and engagement, making this a rare opportunity to see the impact of your code in real time.
Why This Role Matters
We're looking for a creative and analytical MTS, Growth Engineering to supercharge GC AI's expansion. You'll be at the intersection of engineering, data science, and marketing, building systems to drive user acquisition, engagement, and retention. This role is perfect for someone who loves running experiments, automating growth channels, and using data to unlock viral adoption.
As our second Growth Team Member, you'll have the freedom to experiment across multiple channels - from creating viral AI-powered content engines to building automated community engagement systems. You'll work closely with our founding team to identify, test, and scale the most impactful growth opportunities for our AI platform.
What You'll Do
Design and implement systems for engaging potential users across platforms (Reddit, LinkedIn, legal forums).
Build experimentation frameworks to test and measure growth initiatives.
Create dashboards and analytics systems to track user behavior and growth metrics.
Develop tools to automate personalized outreach and engagement.
Architect systems that leverage our AI platform for viral content generation.
Implement tracking and attribution systems to measure campaign effectiveness.
Build internal tools to optimize our sales and marketing operations.
Impact You'll Have
Build and instrument onboarding, prompts, and loops that increase activation-to-first-value and day-7 retention for legal teams
Ship experiments across pricing, packaging, and in-product nudges that expand workspace adoption and seat expansion.
Stand up a trustworthy growth analytics layer so every bet is hypothesis-driven and attributable.
Help build the leading legal AI platform for in-house teams.
5+ years of full-stack engineering experience.
Experience in React and modern TypeScript.
Experience building marketing-focused features (SEO, conversion funnels, analytics).
Proficiency with analytics platforms (Google Analytics, Segment, Mixpanel).
Demonstrated track record of A/B testing and experimentation.
Experience with SQL and data analysis.
Track record of driving user growth through technical initiatives.
Nice to Have
Experience with growth engineering at B2B SaaS companies.
Familiar with marketing automation tools (HubSpot, Customer.io, Klaviyo).
Knowledge of user behavior analytics and funnel optimization.
Background in performance marketing or growth marketing.
Previous experience with LLMs or AI platforms.
Expertise with tools like Posthog, LaunchDarkly, Amplitude, or similar.
Knowledge of SEO best practices and technical implementation.