Build the experimentation engine. Design and build the tooling, frameworks, and guardrails that empower teams to run trustworthy A/B experiments and causal-inference studies at scale—standardizing metrics, statistical methods, and self-serve analysis so the whole org can experiment with rigor and velocity. Define the metrics that matter. Define and maintain key product performance metrics; partner with analytics engineering to build governed, scalable metrics and dashboards that teams rely on e

Drive product strategy with analytics. Perform deep-dive analyses across the product funnel (onboarding, KYC, funding, trading) to identify growth opportunities and drive improvements in core product and business metrics. Build the experimentation engine. Design and build the tooling, frameworks, and guardrails that empower teams to run trustworthy A/B experiments and causal-inference studies at scale—standardizing metrics, statistical methods, and self-serve analysis so the whole org can exper

Run controlled experiments, production replays, or staged rollouts to measure whether changes improve quality and downstream business results. Partner with Product, Data Science, Sales, and B2B Marketing to prioritize high-value problems and define customer and business success.