• Ensuring every client log fulfills on time and at required quality thresholds • Designing scalable activation and contributor supply systems across regions • Governing QA standards to protect client-grade data integrity • Controlling cost structures and payout economics • Building multi-path contingency frameworks to eliminate delivery risk • Scaling a high-performance global operations team • Own end-to-end execution across RM and CI deployments • Maintain operational predictability across geographies, time zones, and product types • Establish clear escalation pathways and risk thresholds • Design global contributor acquisition and reactivation systems • Optimize throughput per city and per log • Align incentives with delivery velocity and QA quality • Lead the QA function as a control system, not just a review layer • Define pass-rate thresholds, rejection logic, and retraining loops • Ensure data meets client-facing standards without threshold dilution • Track and optimize cost-per-approved submission • Forecast fulfillment timelines based on early signal velocity • Prevent margin leakage through structural discipline • Build Plan A/B/C routing for all major deployments • Mitigate risks related to geography gaps, contributor churn, or platform failures • Reduce late-stage surprises through early signal detection • Align Operations with Sales timelines and client SLAs • Collaborate with Engineering to strengthen execution tooling • Partner with Community to sustain contributor engagement • Hire, train, and manage regional operations leads • Define performance standards and accountability structures • Build a culture of execution discipline and ownership