About The Position

Cloudflare's Developer GTM team is on a mission to drive enterprise adoption of Cloudflare's developer platform — and we're building AI into the core of how we do it. As a Developer GTM Intern, your primary focus will be identifying manual, repetitive processes across our enterprise sales motion and replacing them with AI-powered workflows. You will analyze how our team operates today, find the bottlenecks, and ship working solutions that save time and improve outcomes. This is not a research or PowerPoint role — you will build things that the team actually uses. If you want to spend a summer at the intersection of enterprise sales, developer technology, and applied AI, this role is for you.

Requirements

  • Pursuing a degree in Computer Science, Engineering, Business, or a related field.
  • Interest in enterprise sales, developer ecosystems, and how technical products get adopted at large companies.
  • Hands-on experience with AI tools — you use LLMs, automation platforms, or no-code tools or are excited to learn how to use them.
  • Strong analytical skills and a bias toward action: you identify a problem and build a solution, not a slide deck.
  • Excellent written and verbal communication — you can explain a workflow to an engineer and the business case to a sales leader.
  • Self-starter who thrives in ambiguity and measures success by what ships, not what gets planned.
  • Ability to commit to a minimum 12 week summer internship.
  • In office 3-5 days a week in [Austin].

Responsibilities

  • AI Workflow Automation: Audit existing enterprise sales workflows — account research, technical discovery, competitive analysis, proposal drafting, follow-up sequences — and identify the highest-value opportunities to automate using AI. Build and deploy working automations using tools like n8n, Make, Zapier, or custom scripts, and measure their impact.
  • AI Tool Evaluation & Adoption: Research, evaluate, and pilot AI tools relevant to enterprise GTM — from AI-powered prospecting and CRM enrichment to meeting summarization, deal coaching, and content personalization. Document findings and create adoption guides so the broader team can use what works.
  • Sales Process Documentation & Optimization: Shadow enterprise sales cycles, map out current-state workflows in detail, and identify where AI can reduce friction. Build internal playbooks that combine process documentation with the AI tools that improve each step.
  • Demo & Technical Asset Building: Build demo applications and technical assets using Cloudflare Workers, AI, D1, and other platform primitives that help enterprise sales teams make Cloudflare's developer platform tangible in customer conversations.
  • Competitive & Market Intelligence: Use AI tools to automate the collection and synthesis of competitive intelligence — tracking competitor developer programs, pricing changes, and enterprise GTM moves. Deliver regular reports that help the team stay sharp in competitive deals.
  • Metrics & Impact Reporting: Define and track metrics that measure the impact of AI automation on enterprise sales productivity. Build dashboards that make it easy to see what's working, what isn't, and where to invest next.
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