Member of Technical Staff, Growth Engineering

**GC AI** Member of Technical Staff, Growth Engineering; $165K–$350K + equity; US/Canada (Remote)

**About Company** GC AI is the fastest-growing legal AI platform for in-house legal teams, helping lawyers draft, review, and analyze legal documents in seconds with accuracy built for real legal work. More than 1,800 companies use GC AI, including 150+ public companies and 25+ unicorns — brands like News Corp, Miro, Bass Pro Shops, Snyk, Skims, Liquid Death, Vercel, Zscaler, and TIME. The product carries an NPS of 70-75 and recently won a #1 SaaS customer satisfaction award; sales is ahead of plan and the company is on track for a Series C.

GC AI raised a $60M Series B in November 2025 at a $555M valuation, led by Scale Venture Partners and Northzone, with Guillermo Rauch (CEO of Vercel) among the strategic investors. Co-founder and CEO Cecilia Ziniti is a 20-year legal veteran who was a founding lawyer at Amazon Alexa, then Cruise, then Replit — where she met co-founder and CTO Bardia Pourvakil and became focused on AI. About 20% of the company are lawyers, forming an R&D function that bakes legal expertise directly into the product (including attorneys who submit pull requests reviewed and shipped under engineering supervision).

The engineering team is under 20 people and doubling this year. Culture is high-performance and AI-native (the team builds with tools like Claude Code), with strong pay and equity for people who perform. The team is distributed across the US and Canada, intentionally coming together for 3-4 engineering offsites plus a company offsite each year; those within ~50 miles of the San Mateo, CA or Provo, UT hubs work in-office Tuesday-Thursday.

**About the Role** GC AI is hiring its second Growth Engineering hire, reporting into the founding team, to build the technical foundation for how the company scales distribution. This is a hands-on, entrepreneurial seat that blends engineering, data, and creativity — you'll design and ship the systems that drive user acquisition, activation, and retention, with the freedom to experiment across channels from day one.

**Responsibilities** - Design and build systems for engaging potential users across channels (Reddit, LinkedIn, legal forums, and beyond). - Build experimentation frameworks to test and measure growth initiatives, from pricing/packaging to in-product nudges. - Create dashboards and analytics systems to track user behavior, activation, and growth metrics. - Develop tools to automate personalized outreach and engagement. - Architect systems that leverage GC AI's own AI platform for content generation and growth loops. - Implement tracking and attribution so every growth bet is measurable.

**Required Skills** A. 5+ years of full-stack engineering experience, with strong React and modern TypeScript. B. Demonstrated, hands-on track record of A/B testing and experimentation — concrete experiments run and shipped, not just listed as a skill. C. Proficiency with SQL and data analysis, plus analytics platforms (Google Analytics, Segment, Mixpanel, or similar). D. Experience building marketing-facing features — SEO, conversion funnels, analytics instrumentation. E. A track record of driving measurable user growth through technical initiatives, not just building the underlying feature.

**Bonus Skills** - Growth engineering experience specifically at a B2B SaaS company. - Familiarity with marketing automation tools (HubSpot, Customer.io, Klaviyo). - Experience with product analytics/experimentation tooling (Posthog, LaunchDarkly, Amplitude). - Prior exposure to LLMs or AI platforms.

**Logistical Info** - Location: Remote across the US and Canada. - Compensation: $165K–$350K + equity. - **Other:** H-1B transfers supported; no new visa sponsorship.

**Ideal Background** - Pedigree is a filter, not a preference. The current growth engineer came from Apollo, with Nextdoor and eBay before that. HeyGen, Zoox, Udacity, Ramp, Notion, Stripe, Meta, and Amazon were also well received. Intuit, Capital One and Honor have all been screened out on pedigree alone. - Side projects and independent shipping (e.g., indie game dev) are read as a strong positive signal, separate from professional experience. - A short stint here or there isn't disqualifying if balanced by longer tenures; a repeated pattern of short stints is a red flag. - Urgency: time-sensitive — the growth team is overextended and a recent offer acceptance was rescinded; move quickly.

**Green Flags** - Comfortable running experiments and shipping fast in an ambiguous, high-ownership growth seat. - Independent side projects or shipped work outside a day job, read as a genuine positive signal here.

**Red Flags** - A/B testing or experimentation listed only as a skill/keyword, without concrete described experiments in actual work history — the hiring manager explicitly passed on a candidate for this exact gap ("I don't see any experiments run and that's what we need"). - A repeated pattern of short (under ~1 year) stints.

**Interview Process** 1. Recruiter screen (~30 min) with an engineering recruiter — background, motivation, logistics. 2. Engineering deep dive (~60 min) — technical conversation on past work and engineering depth. 3. Technical interview (~format not yet detailed by GC AI). 4. Take-home growth engineering exercise, followed by a project presentation (~60 min). 5. Engineering final interview (~30 min) with leadership.