Senior GTM Analytics & AI Strategy Lead

WebHosting; New York (NY); Sur place; USD 160 000 - 230 000; Plein temps

Résumé du poste

Cloudflare is seeking a Senior GTM Analytics Manager to scale trusted data for the go-to-market organization. You will partner with Pre-/Post-Sales, Solutions Engineering, and Professional Services to implement metrics, data models, and context layers that enable self-serve analytics and AI-assisted insights.

You will define governance, champion a single source of truth, and drive cross-functional programs across Sales, Finance, and Data teams.

Qualifications

• 8+ years in analytics, BI, analytics engineering, or GTM/Services ops at a high-growth B2B SaaS/tech company.
• Direct experience supporting Pre- or Post-Sales Ops, Solutions/Sales Engineering, Forward Deployed Engineering, or Professional Services.
• Deep data modeling expertise, including dimensional modeling and metric layer design.

Responsabilités

• Define a multi-year strategy for data governance and trusted metrics across GTM teams.
• Lead AI-enabled data scaling and semantic layer strategies for accurate, grounded answers.
• Consolidate dashboards and reports toward a single source of truth.

Connaissances

8+ years analytics

GTM analytics

Data modeling

SQL & dbt

GT M data knowledge

AI analytics

Metrics governance

Cross-functional leadership

Communication

Bachelor's/Master in quantitative/CS/é

Formation

BA/BS in quantitative, technical, or business field

Master’s in Data Science, Analytics, CS, or MBA (plus)

Outils

BigQuery

dbt

Semantic layer (LookML, Cube)

Salesforce data

Description du poste

Cloudflare is seeking a Senior GTM Analytics Manager to scale trusted data for the go-to-market organization. You will partner with Pre-/Post-Sales, Solutions Engineering, and Professional Services to implement metrics, data models, and context layers that enable self-serve analytics and AI-assisted insights.

You will define governance, champion a single source of truth, and drive cross-functional programs across Sales, Finance, and Data teams.