• Own and evolve core programmatic workflows (planning, targeting, bidding, pacing, budgeting, delivery). • Develop and apply advanced AI/ML techniques — such as bidding optimizations, budget pacing models, multi-objective optimization, and forecasting to improve performance and maximize ROI. • Partner with Engineering and Data Science to deliver high-quality execution and continuous innovation. • Writing Product documentation (Confluence pages, PRDs, Technical specifications) that guides engineering and aligns stakeholders. • Deliver reporting, measurement, and attribution that drive transparency and performance insights. • Ensure platform reliability, low latency, and scalable real-time bidding and data pipelines. • Define and enforce privacy, compliance, identity, and data governance standards. • Collaborate with Sales, CS, and Marketing to drive adoption and monetization of DSP capabilities. • Leading the rollout of new DSP capabilities, including release planning, testing strategies, and enablement resources. • Managing technical debt and advocate for long-term architectural health, balancing velocity with maintainability. • Driving alignment across teams for governance standards and platform best practices.