Marketing Analyst
About company
GC AI is currently an AI platform for in-house lawyers to 10x themselves. Using the latest LLMs, we are building AI agents that can use company knowledge, leverage external sources, and connect with internal tools to provide better and faster legal advice to the rest of the company. Thousands of weekly active users tell us they “cannot imagine their lives without GC AI” - which has led us to 95% retention and a NPS of 75.
This is a once-in-a-generation opportunity to build for a $1T annual market. We have jaw-dropping product-market fit - growing our customer base from 0 to 500+ legal teams in a year and 3X ARR growth in the last 4 months. Join our Series A stage rocket ship backed by top investors like Sound Ventures, Fellows Fund, Guillermo Rauch and Worklife Ventures. GC AI is a small but mighty team of lawyers, engineers, sellers and doers. Here, you’ll have infinite room to grow and rethink how legal work gets done.
Come build the future with us.
About the role:
The Marketing Analyst is a key player in GC.AI’s growth engine. You’ll translate marketing data into actionable insights that directly impact pipeline, revenue, and go-to-market strategy. The role requires both analytical rigor and storytelling — bringing clarity to what’s working, what’s not, and what to do next.
You’ll work cross-functionally with demand gen, product marketing, sales, and engineering, and you’ll have a direct hand in shaping how the company measures growth, optimizes the funnel, and positions itself in the fast-emerging legal AI category.
Why this role matters:
Legal teams today are drowning in work. Our platform changes that, but only if we build it right. As a Design Engineer, you'll be crafting the visual systems and interactions that make sophisticated legal work feel simple and intuitive. Your work won't just look good - it will fundamentally change how legal teams operate, making their work faster, smarter, and more impactful.
What you'll do and impact you'll make:
Build dashboards and reports to track campaign performance across channels (paid media, ABM, email automation, events, web).
Develop attribution models (single- and multi-touch) to measure marketing’s influence on pipeline and revenue.
Analyze funnel health (lead → MQL → SQL → closed-won) and identify optimization opportunities.
Partner with demand gen to surface the most efficient campaigns, channels, and conversion paths.
Use AI/ML-powered analytics to identify predictive insights such as churn risk or next-best-action triggers.
Track feature adoption, product usage, and retention drivers to inform product marketing.
Analyze customer behavior, industry trends, and competitor activity to sharpen GTM strategies.
Refine ICPs, IAPs, and personas using firmographic, behavioral, and engagement data.
Recommend new tools and methods to strengthen reporting, enrichment, and segmentation.
Promote a test-and-learn culture through structured experimentation.
Required Experience:
2–4+ years of marketing analytics experience, preferably in SaaS. Familiarity with B2B AI or legal tech markets a plus.
Strong understanding of marketing funnel metrics, attribution models, and campaign ROI.
Hands-on expertise with HubSpot, GA4, Looker/Tableau/Power BI.
Working knowledge of relational table structures (joins, aggregations, lookups) to ensure accurate reporting across objects.
Comfort with AI-enabled analytics or predictive modeling preferred.
Excellent data storytelling skills — ability to distill complex findings into actionable insights for stakeholders.
Nice to have:
Experience working with an early-stage series A start-up company.
Understanding legal tech and AI.
What we offer:
Growth & Impact
Shape the future of a rapidly growing startup
Direct collaboration with founding team
Real influence on company strategy and direction
A voice that matters - your ideas will be heard and implemented
Environment & Benefits
Competitive salary, equity and healthcare
We’re a hybrid company — many roles are remote-friendly, while some teams require meeting in person a couple of days a week in the Bay Area office.
High-energy, joyful team environment
Career Development
Mentorship and learning opportunities
Clear path for growth in an expanding company
Exposure to cutting-edge technologies and practices
Freedom to innovate and own crucial systems
Average salary estimate
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