Senior GTM Analytics Manager

WinsAbove; Atlanta (TX); Sur place; USD 165 000 - 230 000; Plein temps

Résumé du poste

Cloudflare’s GTM Intelligence team is seeking a Senior GTM Analytics Manager to set and execute a vision for scalable information across our technical customer-facing groups. You’ll support Pre- and Post-Sales Operations, Solutions Engineering, Forward Deployed Engineering, and Professional Services to deliver trusted answers.

This role emphasizes building self-serve analytics foundations, defining source-of-truth metrics, and partnering with Data to govern data models and context layers.

Qualifications

• 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: 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 (e.g., LookML, Cube).
• Strong working knowledge of GTM and services systems data, such as Salesforce, professional services automation tools, and product usage/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.

Responsabilités

• Define and drive a multi-year strategy for Pre-Sales, Post-Sales, Solutions Engineering, FDE, and Professional Services find, trust, and use data, including a maturity model and a phased roadmap.
• Act as a thought leader on scaling information in an AI-first world, working out how semantic layers, governed metrics, and well-built context let AI assistants and agents give accurate, consistent answers grounded in our business.
• Review the current mix of dashboards, reports, and tools across these teams. Create a plan to consolidate them, retire duplicates, and move toward a single source of truth.
• Define, document, and carry out the official metrics for the teams you support.
• Keep metric definitions aligned with corporate definitions from Finance and Data, and resolve conflicts between teams with clear, defensible logic.
• Act as the main business and technical partner to the central Data team for the stakeholders you support.
• Influence and review the design of data models across systems such as Salesforce, professional services tools, product usage and telemetry, support, and finance.
• Design how people get answers: self-serve access, natural-language and AI-assisted querying, embedded insights in daily workflows, and curated metric catalogs.
• Set up a formal intake and governance process for new metric and data requests, including prioritization, ownership, certification, and change management.
• Build trusted relationships with leaders in Sales, Solutions Engineering, FDE, Professional Services, Customer Success, Operations, Finance, and Data.
• Explain complex technical and analytical ideas clearly to executives so they can make decisions.

Connaissances

Analytics leadership

SQL proficiency

Data modeling

Cross-functional collaboration

Communication

AI/ML awareness

Formation

BA/BS in quantitative field

Master's in Data Science/Analytics

Outils

BigQuery

dbt

LookML

Cube

Salesforce

Description du poste

About Us

At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.

At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.

Available Locations: Austin TX, San Francisco CA, NYC, Atlanta GA OR Denver CO

About the role

The GTM Intelligence team helps Cloudflare's go-to-market organization make faster, better decisions with trusted data. We work with Sales, Technical Sales, Services, Finance, and our central Data teams to make sure the people who sell, deploy, and support Cloudflare get consistent, reliable answers to the questions that matter most.

We're looking for a Senior GTM Analytics Manager to set and execute the vision for how information scales across Cloudflare's technical customer-facing teams. You'll support Pre- and Post-Sales Operations, Solutions Engineering, Forward Deployed Engineering, and Professional Services.

This role is less about building more dashboards or doing one-off deep dives and more about building the foundations to support true self-serve analytics. You will focus on single source of truth artifacts, strategic alignment of metrics to actions, and the data models, metric definitions, and context layers that let anyone in these organizations get a trustworthy answer that fits their needs. That person might be an executive, a frontline manager, an engineer in the field, or an AI agent working for any of them.

You’ll be a technical expert and a strategic partner in one. You’ll be as comfortable reviewing a dimensional model with Data Engineering as you are agreeing a metric definition with a VP of Professional Services. And you’ll be our go-to voice on how analytics should change now that more and more questions get answered through AI.

This is a senior individual contributor role with wide influence and no direct reports.

What you'll 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, including a maturity model and a phased roadmap.
• Act as a thought leader on scaling information in an AI-first world, working out how semantic layers, governed metrics, and well-built context let AI assistants and agents give accurate, consistent answers grounded in our business.
• Review the current mix of dashboards, reports, and tools across these teams. Create a plan to consolidate them, retire duplicates, and move toward a single source of truth.

• Define, document, and carry out the official metrics for the teams you support.
• Keep metric definitions aligned with corporate definitions from Finance and Data, and resolve conflicts between teams with clear, defensible logic.

• Act as the main business and technical partner to the central Data team for the stakeholders you support.
• Influence and review the design of data models across systems such as Salesforce, professional services tools, product usage and telemetry, support, and finance.

• Design how people get answers: self-serve access, natural-language and AI-assisted querying, embedded insights in daily workflows, and curated metric catalogs.
• Set up a formal intake and governance process for new metric and data requests, including prioritization, ownership, certification, and change management.

• Build trusted relationships with leaders in Sales, Solutions Engineering, FDE, Professional Services, Customer Success, Operations, Finance, and Data.
• Explain complex technical and analytical ideas clearly to executives so they can make decisions.

Desirable Skills, Knowledge, and Experience:

• 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. You understand how these teams work, how they're measured, and how their data is created.
• Deep data modeling expertise, including dimensional modeling, entity design, and metric layer design. You can review and challenge a data model, not just consume one.
• Expert SQL skills and hands-on experience with modern data stack tools such as BigQuery, dbt, or a semantic/metrics layer (for example dbt Semantic Layer, LookML, or Cube).
• 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, plus the data foundations those need to be accurate.
• 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.

Compensation

Compensation may be adjusted depending on work location.

• Compensation may be adjusted depending on work location.

• For San Francisco Bay Area based hires: Estimated annual salary of $167,000 - $230,000.

• For New York City based hires: Estimated annual salary of $160,000 - $220,000.

• For Colorado - Remote based hires: Estimated annual salary of $146,000 - $200,000.

• Application Deadline: ~January 2027

Equity

This role is eligible to participate in Cloudflare’s equity plan.

Benefits

Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.

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