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CloudflareSenior GTM Analytics Manager
Cloudflare is seeking a Senior GTM Analytics Manager to join the company as a senior individual contributor working remotely. Cloudflare operates a massive global network that…
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About This Role
Cloudflare is seeking a Senior GTM Analytics Manager to join the company as a senior individual contributor working remotely. Cloudflare operates a massive global network that accelerates and protects millions of internet properties, ranging from individual blogs to major enterprises, with the mission of helping build a better internet. In this role, you will help the go-to-market organization make faster, data-driven decisions by establishing foundations for self-serve analytics across technical…
Job Description
Cloudflare is seeking a Senior GTM Analytics Manager to join the company as a senior individual contributor working remotely. Cloudflare operates a massive global network that accelerates and protects millions of internet properties, ranging from individual blogs to major enterprises, with the mission of helping build a better internet.
In this role, you will help the go-to-market organization make faster, data-driven decisions by establishing foundations for self-serve analytics across technical customer-facing groups, including Pre- and Post-Sales Operations, Solutions Engineering, Forward Deployed Engineering, and Professional Services. You will serve as both a technical expert and a strategic partner, designing single sources of truth, shaping data models, standardizing metric definitions, and defining how information scales in an AI-first era. This position suits an experienced analytics professional who values curiosity over bureaucracy and wants to bridge complex technical ideas with executive strategy.
Cloudflare offers an annual salary range of USD 167,000 to 230,000, with specific compensation subject to adjustment based on work location. Eligible employees can also participate in the company equity plan and receive a comprehensive benefits package covering health, welfare, financial security, and paid time off.
Responsibilities
- Develop and execute a multi-year strategy and maturity model for how technical customer-facing teams discover, trust, and utilize data
- Establish practices for scaling information in an AI-first environment through semantic layers, governed metrics, and context design
- Streamline reporting by consolidating tools, retiring duplicates, and building single-source-of-truth frameworks
- Define, document, and standardize official team metrics while aligning definitions with corporate finance and data groups
- Partner with the central Data team to influence and review entity and dimensional data models across Salesforce, product telemetry, and other systems
- Design methods for users to access information, including self-serve tools, AI-assisted queries, and embedded workflow insights
- Manage a formal intake and governance process for new data and metric requests, handling prioritization, ownership, and change management
- Build collaborative partnerships across sales, engineering, finance, and operations leadership while translating technical analytics concepts for executives
Requirements
- Minimum of 8 years of experience working in analytics, business intelligence, analytics engineering, or go-to-market and services operations at a high-growth technology or B2B SaaS company
- Direct background supporting Pre-Sales Operations, Post-Sales Operations, Solutions Engineering, Sales Engineering, Forward Deployed Engineering, Professional Services, or Customer Success
- Advanced data modeling expertise encompassing dimensional modeling, entity design, and metric layer design
- Expert-level SQL capabilities paired with hands-on experience utilizing modern data stack tools such as BigQuery, dbt, and semantic layers like LookML or Cube
- Solid working knowledge of go-to-market and services technology data, including product telemetry, professional services automation tools, and Salesforce
- Demonstrated history of defining and rolling out source-of-truth metrics across multiple stakeholder groups while resolving conflicts over definitions
- Proven capability to lead complex, cross-functional programs without formal authority and influence both engineers and executives
Qualifications
- Hold a Bachelor of Arts or Bachelor of Science degree in a quantitative, technical, or business field
- Hold a Master of Science degree in Analytics, Computer Science, Data Science, or an MBA
Core Skills
Benefits
- Medical and prescription drug insurance coverage
- Dental and vision insurance plans
- Flexible spending accounts and commuter spending accounts
- Fertility and family forming benefits
- On-demand mental health support and employee assistance program
- Global travel medical insurance
- Short-term 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
- Participation eligibility in the company equity plan
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
What is the salary for the Senior GTM Analytics Manager role?
The estimated annual salary ranges from $167,000 to $230,000 for San Francisco Bay Area hires, $160,000 to $220,000 for New York City hires, and $146,000 to $200,000 for Colorado remote hires. Compensation may be adjusted depending on the specific work location.
Is this position remote?
Yes, the employment type is full-time and the posting specifies remote status, though applicants who reach the offer stage may be asked to attend an in-person interview at a Cloudflare office or hub.
What qualifications are required for this position?
Candidates must have 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. They also need direct experience supporting relevant technical teams, deep data modeling expertise, expert SQL skills, and proficiency with modern data stack tools.
What education is preferred for applicants?
A Bachelor of Arts or Bachelor of Science in a quantitative, technical, or business field is required. A Master's degree in Data Science, Analytics, Computer Science, or an MBA is considered a plus.
Sample Interview Questions
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