Senior GTM Analytics Manager

### Who you are
- 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
- 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

### What the job involves
- 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
- And you'll be our go-to voice on how analytics should change now that more and more questions get answered through AI
- 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

### The application process
- Application Deadline: ~January 2027

### Benefits
- Competitive pay: We offer a competitive total rewards package, where every employee is an owner of our stock.
- Take-what-you-need vacation: We encourage employees to find a comfortable work-life balance by taking as many days off as they need while still being able to perform their jobs satisfactorily. (We really mean it!)
- Paid maternity & paternity leave: Our global parental leave policy allows up to sixteen paid weeks of bonding leave time for all qualifying new parents.
- Employee benefits: We offer a comprehensive benefits package including healthcare, life insurance, short- and long-term disability, pension plans in accordance with the market practice in our locations.
- Commuter program: We are flexible about where we work and value connecting at the office. Our commuter benefits program is in place to support team members' commute to work via public transportation without the extra cost burden.
- Wellbeing: Global offerings that provide mental health, childcare and family forming support to our employees across our offices.