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.