• Lead driving day-to-day execution of onboarding, configuration, deployment, and adoption activities. • Roll up your sleeves to validate data flows, troubleshoot platform issues, review AI model outputs , and partner with technical teams to ensure integrations and workflows are functioning as expected. • Build and execute detailed customer success plans including timelines, resource planning, dependency management, and measurable outcomes. • Conduct hands-on platform walkthroughs, training sessions, and user enablement workshops to drive adoption across Martech, Adtech , and CDP use cases , across several verticals in existing customer base. • Work directly with product and engineering teams to improve telemetry, support data ingestion, and ensure customers have clean and actionable data feeding AI workflows. • Monitor platform usage and customer KPIs in real time, proactively identifying and resolving blockers before they impact outcomes. • Help customers configure audiences, journeys, activation triggers, and AI-driven insights within CDP and MarTech ecosystems. • Participate actively in AI solution deployments—review AI performance, help refine models, and ensure AI outputs integrate seamlessly into the customer’s operational processes. • Executing day-to-day interactions with customer teams—from end users to C-suite—ensuring clarity, documentation, and alignment at every stage. • Manage and expand multi -tiered customer relationships ensuring value is delivered and agreed at all levels of customer stakeholders, influencers and decisions makers. • Lead recurring working sessions, backlog reviews, prioritization discussions, and feature adoption plans. • Prepare and deliver structured executive business reviews with clear metrics, outcomes, and recommended actions. • Track value realization metrics such as adoption, engagement, efficiency gains, campaign performance lift, revenue impact, retention, and customer health scores. • Build dashboards or reports that translate platform usage into business impact. • Identify expansion opportunities by recognizing gaps and proposing concrete use cases, enhancements, or new modules. • Coordinate closely with Sales, Product, Engineering, and Delivery to ensure successful execution and rapid progress for each customer. • Provide actionable and detailed product feedback based on real customer usage, technical gaps, and observed market needs. • Help define repeatable playbooks, templates, and best practices that improve execution and scalability across the CS organization. • Actively demonstrate the power of the Uniphore Business AI Cloud Platform by running hands-on workshops, demos, and implementation sessions. • Guide customers on how to operationalize AI—from data readiness to real-world activation across marketing and advertising ecosystems.