8 hours ago
United States / San Francisco, California
Some on site or at the office work required ( hybrid )
Role Summary
As an IT Product Manager Intern, you will help transform how Cloudflare’s internal teams triage, prioritize, and execute work. Your mission: break down silos and accelerate collaboration across the organization. This role focuses on reimagining workflows by leveraging AI to generate dynamic assets and automate processes. We’re looking for an analytical, innovative, and empathetic thinker passionate about using Large Language Models (LLMs) and Generative AI to solve complex workflow challenges, streamline communication, and strengthen alignment between business and technical teams.
Key focus areas include:
Strategic Asset Automation – Redefine how product documentation drives IT development. Instead of drafting static documents manually, you’ll use AI to generate dynamic, high-fidelity assets—from Business Requirement Documents (BRDs) and user stories to acceptance criteria and vendor analyses.
Collaboration Acceleration – Work as a researcher and strategist, conducting in-depth interviews with Product Managers and stakeholders across the organization to uncover hidden friction points in communication, cross-functional alignment, and progress updates.
Intake Strategy & Automation – Partner with engineering teams and internal stakeholders to design and implement an AI-driven solution that automates ticket intake, significantly reducing manual triage overhead.
*Note: The projects listed above are examples of high-impact work we focus on. None are guaranteed. Actual internship projects will be based on Cloudflare’s most critical business priorities at the time of the summer 2026 internship.*
Role Responsibilities
Lead product discovery and definition for internal systems, translating high-level business needs into clear technical specifications and user stories.
Conduct comprehensive user research, interviewing internal stakeholders to map the current collaboration landscape and identify major pain points.
Architect AI-driven document pipelines that ingest raw stakeholder inputs and output structured, standards-compliant assets such as BRDs, product roadmaps, and user personas.
Design and validate AI-driven workflows and solutions—such as automated meeting summaries, intelligent knowledge retrieval, or cross-team dependency alerts—that automatically identify and cluster similar tickets, enabling teams to manage themes of work rather than individual tasks.
Collaborate with engineering teams to implement thoughtful automation and deliver a functional MVP that integrates seamlessly into Cloudflare’s existing tool stack.
Use AI strategy to maintain the product backlog for internal platforms, making trade-off decisions between speed of delivery and feature depth based on stakeholder input and business value.
Optimize “discovery to development” velocity by identifying friction points in the documentation process and deploying generative solutions that reduce lag time.
Develop validation frameworks that use AI to cross-reference incoming requests against existing requests and OKRs, ensuring resources are automatically prioritized for high-impact initiatives.
Define and track success metrics for improvements, measuring how your solutions reduce manual triage overhead, meeting fatigue, email volume, or information search time.
Must-Have Skills
Educational Background: Currently enrolled in or recently graduated from a Bachelor’s or Master’s program in Computer Science, Business Administration, Information Systems, Organizational Psychology, Engineering Management, or a related field.
AI/ML Fluency: Strong conceptual understanding of AI, especially how LLMs and NLP can be applied to text analysis, workflow automation, summarization, sentiment analysis, and knowledge management. Practical experience or strong theoretical knowledge of prompting LLMs to generate structured outputs is essential.
Product Fundamentals: Demonstrated understanding of the product management lifecycle, including requirements gathering, writing user stories, and agile/scrum methodologies. Proficiency in defining problems, validating hypotheses, and prioritizing features based on user impact. Deep familiarity with standard product artifacts (BRDs, PRDs, roadmaps) and their role in the software development lifecycle (SDLC).
Analytical & Process Mindset: Ability to map complex process flows and identify where human intervention can be replaced by logic or automation. Skilled at breaking down business problems into technical components and evaluating vendors or tools based on objective criteria. A mindset for efficiency and a drive to automate repetitive tasks.
Communication & Research: Superior written and verbal communication skills, with the ability to explain complex technical concepts to non-technical audiences. Strong ability to conduct empathetic customer interviews, ask probing questions to uncover root causes, and synthesize unstructured feedback into actionable insights.
Nice-to-Have Skills
Platform Knowledge: Hands-on experience with Jira, Salesforce, or similar enterprise service management tools. Familiarity with collaboration platforms like Miro or Google Workspace.
Advanced AI Knowledge: Familiarity with Model Context Protocols (MCPs) or agentic workflows.
UX/Design: Ability to create simple wireframes or mockups (using Miro or similar) to visualize solutions for stakeholders.
Other Experience: Prior internship experience in product management, business analysis, or IT operations.
Financial Acumen: Basic understanding of ROI calculations to support building robust business cases.
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