Senior GTM Analytics Manager

Cloudflare • San Francisco, CA

1d

About The Position

Cloudflare is seeking a Senior GTM Analytics Manager for its GTM Intelligence team. This senior individual-contributor role will set and execute the vision for how information scales across technical customer-facing teams, including Pre- and Post-Sales Operations, Solutions Engineering, Forward Deployed Engineering, and Professional Services. The role focuses on building the foundations for self-serve analytics through trusted source-of-truth artifacts, aligned metrics, data models, metric definitions, and context layers. The successful candidate will serve as both a technical expert and strategic partner, working with Data Engineering and business leaders and advising on how analytics should evolve in an AI-first environment. The role has wide influence and no direct reports.

The position is available in Austin, San Francisco, New York City, Atlanta, or Denver. Compensation varies by location: $167,000–$230,000 annually for San Francisco Bay Area hires, $160,000–$220,000 for New York City hires, and $146,000–$200,000 for Colorado remote hires. The role is eligible for Cloudflare’s equity plan. Applicants who reach the offer stage may be asked to attend an in-person interview at a Cloudflare office or hub. The position may require access to information protected under U.S. export control laws, and an offer may depend on authorization to receive controlled software or technology without export-license sponsorship.

Requirements

• At least 8 years of experience 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 Pre- or Post-Sales Operations, Solutions/Sales Engineering, Forward Deployed Engineering, Professional Services, or Customer Success, with an understanding of how these teams work, are measured, and generate data.
• Deep expertise in data modeling, including dimensional modeling, entity design, and metric-layer design; ability to review and challenge data models.
• 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 understanding of how AI affects analytics, including semantic layers, retrieval and context design for LLMs, text-to-SQL, agent-based access to governed data, and the data foundations required for accuracy.
• Track record of defining and rolling out source-of-truth metrics across multiple stakeholder groups, including resolving disagreements over definitions.
• Proven ability to lead complex cross-functional programs without formal authority and influence executives and engineers.
• Excellent written and verbal communication skills, including translating ambiguous business questions into precise technical requirements and vice versa.
• BA/BS in a quantitative, technical, or business field.

Nice To Haves

• A Master's degree in Data Science, Analytics, Computer Science, or an MBA.
• Experience with semantic or metrics-layer tools such as dbt Semantic Layer, LookML, or Cube.

Responsibilities

• Define and drive a multi-year strategy, maturity model, and phased roadmap for how Pre-Sales, Post-Sales, Solutions Engineering, Forward Deployed Engineering, and Professional Services teams find, trust, and use data.
• Guide the use of semantic layers, governed metrics, and contextual data so AI assistants and agents can provide accurate, consistent, business-grounded answers.
• Review dashboards, reports, and tools across supported teams; develop a plan to consolidate them, retire duplicates, and move toward a single source of truth.
• Define, document, and implement official team metrics, keeping them aligned with corporate definitions from Finance and Data and resolving conflicts with clear, defensible logic.
• Serve as the primary business and technical partner to the central Data team for supported stakeholders.
• Influence and review data model design across Salesforce, professional services tools, product usage and telemetry, support, and finance systems.
• Design how users access answers through self-serve access, natural-language and AI-assisted querying, embedded workflow insights, and curated metric catalogs.
• Establish a formal intake and governance process for metric and data requests, including prioritization, ownership, certification, and change management.
• Build trusted relationships with leaders in Sales, Solutions Engineering, Forward Deployed Engineering, Professional Services, Customer Success, Operations, Finance, and Data.
• Explain complex technical and analytical concepts clearly to executives to support decision-making.
• Lead complex, cross-functional programs and influence executives and engineers without formal authority.

Benefits

• Equity plan participation
• Medical/Rx insurance
• Dental insurance
• Vision insurance
• Flexible Spending Accounts
• Commuter Spending Accounts
• Fertility and family-forming benefits
• On-demand mental health support and Employee Assistance Program
• Global travel medical insurance
• Short- and long-term disability insurance
• Life and accident insurance
• 401(k) retirement savings plan
• Employee Stock Participation Plan
• Flexible paid time off covering vacation and sick leave
• Leave programs, including parental, pregnancy health, medical, and bereavement leave

What This Job Offers

• Job Type: Full-time
• Career Level: Senior