GTM Data Specialist, Consumption & Revenue Operations
Cloudflare HybridUSD 138,000–190,000 / yearMid
Key requirements
- Sql
- Salesforce
- Crm
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: USA
About the Team
Cloudflare is changing how it grows and how it measures growth and Revenue and Consumption is becoming a core Go-To-Market (GTM) metric that shapes our GTM motions.
The Consumption Transformation Team is the design engine for that change. Working closely with GTM leaders and the Developer leadership team, we help define the metric, draft and enforce the Rules of Engagement (ROE) for Consumption, build the analytics and field reporting, and support enablement, landing, and continuous improvement. We are a partnering team and aim to work cross functionally to support our internal functions successfully in a consumption business. This is a new team, so you will be building the way we work, and we expect successful candidates to use AI every day to take on more than a team this size normally could.
About the Role
You will turn the Consumption strategy into working models, trusted data, and clear answers for the field. You will design, build, and land the targeting models, build scorecards with our cross-functional partners and Data and Analytics Leader, give Geo Ops analytics they need to run their business, and be the first stop when our field teams seek clarity on our data, reporting, and use this to improve our models.
What you'll do
Design, model, and land targets: Build and evolve our target setting model, and own the methodology. Back-test them, land them with GTM leaders, and keep improving them.
Execute the strategy: Take direction from the Strategy Lead and turn it into working methods and recommendations, and flag early when the data says the plan should change.
Build scorecards: Work with our DIA and GTM Analytics teams to build and maintain scorecards with cross-functional partners covering field performance, data quality, and disputes.
Protect data integrity: Validate actuals, baselines, targets, revenue attribution, and account ownership against source systems such as BigQuery, and tie GTM Revenue back to Finance and Billing.
Support the field and apply the Rules of Engagement: Answer field questions and cases on baselines, quotas, crediting, and ownership, applying the Rules of Engagement consistently and keeping a record of each decision. Spot where a rule needs to change, and provide the account hierarchy and ownership data teams need to collaborate across geos on our most critical customers.
Support territory planning
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