Own backend product features end-to-end, including solution design, API and data-model development, deployment, production support, refactoring, testing, observability, and incident resolution. Build scalable workflow automation, synchronization, document-processing, e-signature, and integration capabilities. Collaborate across engineering and support teams, use AI in daily development, improve release processes, and make autonomous product and architectural decisions.

Own growth analytics for Calendars by analyzing product and marketing data, building self-serve dashboards, defining and QAing event tracking, and evaluating funnels, experiments, pricing, monetization, retention, and attribution. Develop forecasts and scenario models, identify growth opportunities, ensure data integrity, and partner strategically with product, marketing, and engineering teams to guide prioritization and roadmap decisions.

Lead growth analytics for Spark: analyze large datasets, design event tracking, build dashboards, run and validate experiments, model forecasting and LTV, ensure measurement/attribution integrity, and surface growth opportunities to product and marketing teams.