• Own the analytics strategy for self-serve growth—design experiments, build measurement infrastructure, and drive insights that increase conversion from signup to first programmatic request • Build robust, repeatable analytics pipelines and dashboards from the ground up using Superset and Heap Analytics • Partner directly with product managers and designers to define success metrics, establish baselines, and instrument products correctly • Design and analyze experiments across the developer journey, with deep understanding of API/SDK adoption patterns • Collaborate with analytics partners in Marketing and Sales to connect product usage signals with acquisition, activation, and downstream sales outcomes, building a holistic view of the end-to-end PLG funnel • Surface patterns in product usage across our growing portfolio to identify high-value use cases, customer segments, and where to double down on investment • Serve as the analytical partner to Product leadership: synthesize insights across multiple products and use cases to identify patterns that inform longer-term product strategy and investment decisions • Establish experimentation best practices and analytical rigor as the team scales PLG motions • Translate complex findings into clear, actionable recommendations that shape product roadmap and investment decisions • Build the analytics muscle for the team—creating frameworks and systems that enable PMs to self-serve insights while you focus on strategic analysis