• Design, develop, and deploy customer-centric features that leverage data science, machine learning (ML) and generative AI technologies. • Contribute to tangible, quantifiable, and measurable impact on Sprout Social’s highest priority AI initiatives, directly benefiting our customers and driving key business outcomes. • Develop robust frameworks for evaluation and measurement of AI features to increase speed, improve quality, and provide demonstrable ROI of product enhancements. • Collaborate closely with product management, design, and software engineering partners to deliver high quality AI solutions quickly and confidently. • Effectively communicate AI capabilities, limitations, and product implications, ensuring alignment between technical possibilities, customer needs, and product vision.

• **Develop Launchpad Platform:** Build a comprehensive launchpad tailored for launching Nibiru’s native crypto token, incorporating design elements that support virtual assets and seamless user experiences. • **Facilitate Token Launch:** Oversee the creation, distribution, and management of the native Nibiru token, ensuring smooth and compliant launches. • **Create Promotional Material:** Develop unique NFT collections and memecoin concepts, utilizing tools like Midjourney and Sora for AI-generated art and videos. • **Run Social Media:** Manage and grow your project's presence across platforms such as Twitter, Discord, and Telegram, ensuring consistent and engaging content. • **Community Management:** Foster a positive and inclusive environment by engaging with community members, organizing events, and facilitating discussions.

• Lead voice and digital AI Self-Service solutions for large, multi-location contact centers • Design, develop and implement AI self-service applications with Google CCAI • Ability to interface with clients, lead design decisions and drive towards defining solution requirements and technical design • Serve as a project lead for the Google Delivery practice for assigned Google CCAI projects • Collaborate with project team members to provide input to conversation design specifications • Integrate to backend systems using web services, databases, and reporting • Perform Unit Testing of developed code • Assist with System and Functional Testing

• Design and implement AI-driven systems that improve enterprise data quality through: AI-powered data enrichment and inference, Entity resolution and fuzzy matching, Automated classification and taxonomy generation, Anomaly detection and data quality monitoring, Achema mapping and data harmonization across datasets • Design modern data platforms that support AI systems, including: Semantic indexing and embeddings, Knowledge graphs and ontology frameworks, AI-ready data pipelines and enrichment layers, Real-time ingestion and contextualization of enterprise data • Integrate AI data intelligence capabilities across enterprise systems such as ServiceNow, ERP, CRM, and operational platforms. • Establish enterprise capabilities for: AI data lineage and traceability, Data provenance across AI pipelines, Observability of data quality and enrichment accuracy, Explainability and auditability for AI-driven systems • Translate data intelligence concepts into scalable capabilities including: Reusable data modernization frameworks, AI-powered data enrichment services, Internal accelerators and intellectual property, Client-ready data intelligence solutions • Work across: AI / ML Engineering, Data Engineering, Data Science, Forward Deployed Engineers, ServiceNow platform teams to deliver production-ready AI data intelligence systems.