About PortAt Port.io, we are building an open and flexible Agentic SDLC Platform for modern engineering organizations. Following our recent $100M Series C funding round, we are in a phase of rapid hypergrowth with strong enterprise momentum.We act as the central nervous system for engineering, enabling platform teams to unify their stack and expose it as a governed layer through golden paths for developers and AI agents.By combining rich engineering context, workflows, and actions, we help organizations transition from manual processes to autonomous, AI-assisted engineering workflows while maintaining control and accountability.As a product-led company, we believe in building world-class platforms that fundamentally shape how modern engineering organizations operate. About the roleWe are looking for an AI-fluent Product Analyst to join our team and help us build a data-driven culture at Port. In this role, you will be the bridge between raw usage data and strategic product decisions, working closely with our Growth team and other product squads to uncover insights that drive the future of our product.At Port, we believe that understanding how developers interact with our platform is the key to building a world-class product. You will be responsible for translating complex behaviors into actionable insights, ensuring that every product decision we make is backed by a deep understanding of our users' needs and friction points.What will you be doing?Analyze usage behavior and "Aha!" moments - Dive deep into Port’s usage data to identify the specific actions and technical milestones that lead to successful platform adoption and long-term retention.Partner with Port’s product teams - Act as the analytical engine for our platform & growth initiatives, identifying "leaks" in the self-service funnel and proposing data-backed experiments to improve user activation.Turn feedback into product strategy - Synthesize quantitative data with qualitative feedback from customer conversations, tickets, and other interactions.Build a self-service data culture - Create and maintain intuitive dashboards that empower teams to monitor their own features independently.