GC AI-posted 3 months ago
Full-time • Entry Level
11-50 employees

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.

  • 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.
  • 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.
  • Experience working with an early-stage series A start-up company.
  • Understanding legal tech and AI.
  • Competitive salary, equity and healthcare.
  • 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.
  • 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.
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