Tech Stack

Description

You will own GTM analytics end-to-end, including pipeline health, forecast modeling, and product usage metrics for AI-native products. You'll invent new measurement frameworks for business impact when AI agents do the work, partnering with Revenue Operations and the tech team to translate data into action.

Requirements

• 5–10 years in GTM analytics, strategy consulting, or revenue analytics at a high-growth B2B SaaS company.
• Management consulting foundation (MBB or equivalent).
• Product analytics depth with experience in activation funnels, feature adoption, retention cohorts, and revenue outcomes.
• Deep SaaS fluency: ARR, NDR, pipeline velocity, cohort LTV, CAC payback.
• Strong SQL with production queries against BigQuery or Snowflake, dbt models, dashboards in Looker or equivalent.
• Quantitative modeling experience influencing real resource allocation decisions.
• End-to-end pipeline analysis: lead to close to renewal to expansion.
• Board-level communication skills.
• Hands-on, AI-native workflow using tools like Claude, ChatGPT, Cursor.
• STEM or BS in Finance, Economics.

Responsibilities

• Own GTM analytics end-to-end: pipeline health and velocity, forecast modeling, win/loss analysis, rep productivity, territory performance, expansion propensity, churn risk, and product usage metrics.
• Build consumption analytics linking product telemetry to revenue, activation cohorts, retention curves, and expansion triggers.
• Perform quantitative modeling including forecasting, account scoring, predictive churn, and scenario analysis.
• Deliver board-level communication of complex analysis in clear, actionable terms.
• Partner with Director of GTM Operations, Director of GTM Systems & Automation, and tech team to operationalize insights.