Senior GTM Analytics Manager

Role Overview

The GTM Intelligence team helps Cloudflare’s go-to-market organization make faster, better decisions with trusted data. The Senior GTM Analytics Manager will set and execute the vision for how information scales across Cloudflare’s technical customer-facing teams.

What You Will Do

Define and drive a multi-year strategy for how Pre-Sales, Post-Sales, Solutions Engineering, FDE, and Professional Services find, trust, and use data. Act as a thought leader on scaling information in an AI-first world.

Why It Might Be a Fit

This is a senior individual contributor role with wide influence and no direct reports. The ideal candidate will have 8+ years in analytics, business intelligence, analytics engineering, or GTM/Services operations at a high-growth B2B SaaS or technology company.

Requirements

• 8+ years in analytics, business intelligence, analytics engineering, or GTM/Services operations at a high-growth B2B SaaS or technology company
• Direct experience supporting at least one of the following: Pre- or Post-Sales Operations, Solutions/Sales Engineering, Forward Deployed Engineering, Professional Services, or Customer Success
• Deep data modeling expertise, including dimensional modeling, entity design, and metric layer design
• Expert SQL skills and hands-on experience with modern data stack tools such as BigQuery, dbt, or a semantic/metrics layer
• Strong working knowledge of GTM and services systems data, such as Salesforce, professional services automation tools, and product usage or telemetry data
• A clear, informed view on how AI changes analytics, including semantic layers, retrieval and context design for LLMs, text-to-SQL, and agent-based access to governed data
• A track record of defining and rolling out source-of-truth metrics across multiple stakeholder groups, including handling disagreements over definitions
• Proven ability to lead complex, cross-functional programs without formal authority, and to influence executives and engineers alike
• Excellent written and verbal communication skills, including turning ambiguous business questions into precise technical requirements and back again
• BA/BS in a quantitative, technical, or business field. A Master’s in Data Science, Analytics, Computer Science, or an MBA is a plus

Benefits

• Health & Welfare Benefits
• Medical/Rx Insurance
• Dental Insurance
• Vision Insurance
• Flexible Spending Accounts
• Commuter Spending Accounts
• Fertility & Family Forming Benefits
• On-demand mental health support and Employee Assistance Program
• Global Travel Medical Insurance
• Financial Benefits
• Short and Long Term Disability Insurance
• Life & Accident Insurance
• 401(k) Retirement Savings Plan
• Employee Stock Participation Plan
• Time Off
• Flexible paid time off covering vacation and sick leave
• Leave programs, including parental, pregnancy health, medical, and bereavement leave

Tagged as: BigQuery, Salesforce, SQL