IT Product Manager Intern at Cloudflare enhancing internal collaboration tasks and workflows using AI-driven solutions. Focuses on redefining processes and ensuring alignment between technical and business teams.
Responsibilities
Lead the product discovery and definition for internal systems, translating high-level business needs into clear technical specifications and user stories.
Lead comprehensive user research by interviewing internal stakeholders to map out the current collaboration landscape and identify major pain points.
Architect AI-driven document pipelines that ingest raw stakeholder inputs and output structured, standard-compliant assets such as Business Requirement Documents (BRDs), Product Roadmaps, and User Personas.
Design and validate AI-driven logic workflows and solutions—such as automated meeting synthesis, 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 (Minimum Viable Product) that integrates seamlessly into Cloudflare’s existing tool stack.
Innovate using an AI strategy to maintain the product backlog for internal platforms, helping to make trade-off decisions between speed of delivery and feature depth based on stakeholder inputs and business value.
Optimize the "Discovery to Development" velocity by identifying friction points in the documentation process and deploying generative solutions that reduce lag time.
Develop validation frameworks that utilize AI to cross-reference incoming requests against existing requests and OKRs, ensuring resources are automatically prioritized for high-impact initiatives.
Define and deploy success metrics for improvements, measuring how your solutions reduce manual triage overhead, meeting fatigue, email overhead, or information search time.
Requirements
Currently enrolled in or recently graduated from a Bachelor’s or Master’s degree program in Computer Science, Business Administration, Information Systems, Organizational Psychology, Engineering Management, or a related field.
A strong conceptual understanding of Artificial Intelligence, specifically how LLMs and Natural Language Processing (NLP) can be applied to text analysis, workflow automation, text summarization, sentiment analysis, and knowledge management.
Demonstrated understanding of the Product Management lifecycle, including requirements gathering, writing user stories, and agile/scrum methodologies.
Ability to map out complex process flows and identify specific areas where human intervention can be replaced by logic or automation.
Superior written and verbal communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders clearly.
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