GC AI
Member of Technical Staff, Growth Engineering
San Mateo, California · Staff+ · Full-time
Sponsorship not specified$165k-$350kDetected 57 days ago
ReactFull-Stack DevelopmentSQLData ScienceLLMsA/B TestingSEOHubSpotGoogle AnalyticsPerformance MarketingValuationCommunication
About the role
- 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.
- We're looking for a creative and analytical MTS, Growth Engineering to supercharge GC AI's expansion.
- This role is perfect for someone who loves running experiments, automating growth channels, and using data to unlock viral adoption.
Responsibilities
- 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.
- Implement tracking and attribution systems to measure campaign effectiveness.
- Build internal tools to optimize our sales and marketing operations.
- Build and instrument onboarding, prompts, and loops that increase activation-to-first-value and day-7 retention for legal teams
- Help build the leading legal AI platform for in-house teams.
- We're building the future of legal work, and we're doing it fast.
Requirements
- 5+ years of full-stack engineering experience.
- Experience in React and modern TypeScript.
- 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 http://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.
- Problem Solver: You come alive tackling complex challenges without obvious solutions.
Compensation
- $165k-$350k
Company info
- You thrive in fast-paced environments where responsibilities evolve.
- We're building something new in a once-in-a-generation shift in technology and the legal industry, so we move at a relentless pace.
- We expect urgency, ownership, and good judgment even when things aren't perfectly clear.
- If you need structure and consensus to do your best work, this isn't the right place for you.
- If you thrive in ambiguity and growth, work with intensity, and want real responsibility, keep reading.
- We're excited to meet you.
- GC AI is a distributed company with team members across North America, and soon Europe.
- We believe that because our business is AI, human connection matters more, not less.
Equal opportunity
- GC AI is an equal opportunity employer that supports workplace diversity and does not discriminate on the basis of race, color, religion, gender identity/expression, national origin, age, military service eligibility, veteran status, sexual orientation, marital status, physical or mental disability, or any other protected class. GC AI is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. #LI-GCAI
- To protect yourself against phishing and recruitment fraud, please note that GC AI only accepts job applications through our official careers page at https://gc.ai/careers and through sponsored jobs on LinkedIn. All legitimate communication from our team regarding job opportunities will come from a GC AI team member with a @gc.ai http://gc.ai or @getgc.ai http://getgc.ai email address.
- GC AI will never:
- Refer you to external websites to apply
This listing is sourced directly from GC AI's careers page and normalized into a canonical job model.