● For New York City and Washington based hires: Estimated annual salary of $220,000 - $303,000
● For Colorado based hires: Estimated annual salary of $200,000 - $275,000
● For San Francisco Bay Area based hires: Estimated annual salary of $230,000 - $317,000
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet
Project Galileo: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost
Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states
1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process
Build the AI Compensation Design Framework and Application - an internal capability that uses AI to accelerate plan modeling, scenario simulation, payout forecasting, and what-if analysis across thousands of sellers and territories
Leverage AI to design high-quality SPIFFs and incentive structures, including generating candidate designs, simulating seller behavior, and stress-testing against historical data before launch
Track ROI of comp plans, SPIFFs, and incentive programs using AI-driven analytics - moving from lagging reporting to predictive measurement of plan effectiveness, seller behavior change, and revenue lift
Develop AI-powered pay-for-performance reporting that surfaces insights for executives, managers, and sellers in real time, replacing static quarterly reviews with continuous intelligence