interVal

• Architect end-to-end solutions that integrate Interval’s data-exchange, privacy, and AI capabilities with customers’ existing cloud warehouses, lakehouses, and BI stacks. • Lead technical discovery & design workshops with data, analytics, and ML teams; produce reference architectures, sequence diagrams, and implementation plans. • Prototype & run POCs showcasing secure LLM workflows, private-model training, and governed data-sharing on Interval’s EVM-backed network. • Serve as a trusted advisor to enterprise stakeholders—CTOs, CDOs, and Heads of AI—on topics such as data-governance, compliance (HIPAA, GDPR), and ML-ops best practices. • Collaborate cross-functionally with Product, Engineering, and Sales to influence roadmap priorities and ensure customer success. • Create reusable assets and enablement content that scale architectural best practices across the organization. • Evangelize Interval through conference talks, blog posts, and community contributions to the modern data stack and open-source AI tooling.

• Design, implement, and test Solidity smart contracts for data tokenization, licensing, and pricing workflows. • Develop robust on-chain data structures to represent enterprise datasets, metadata, and access conditions. • Architect marketplace and exchange primitives including order books, escrow, dispute resolution, and royalties. • Integrate pricing logic grounded in financial derivatives (e.g., options pricing, bonding curves, auction models). • Optimize gas efficiency and ensure upgradability where needed using proxies or modular contracts. • Collaborate with auditors and internal security teams to harden contracts against vulnerabilities. • Work cross-functionally with product and protocol teams to define new features and mechanisms.

• Develop and deploy models that work with distributed, privacy-preserving enterprise data (structured, unstructured, and time series) • Work closely with our AI team on Val, our internal contextual intelligence framework, including NLP, embedding systems, and semantic search • Collaborate across product and engineering to build robust ML pipelines for data classification, anomaly detection, semantic inference, and explainability • Research and prototype novel applications of machine learning in private and federated contexts, with a focus on enterprise data security • Integrate ML systems into a secure infrastructure governed by on-chain access control and data provenance • Contribute to internal tools and libraries that help automate model training, evaluation, versioning, and monitoring

• Design, build, and deploy AI/ML models for diverse business applications, emphasizing privacy and compliance. • Partner with data engineers and AI/ML engineers to develop robust, trustworthy data pipelines and ensure reliable model deployment. • Implement privacy-first analytics techniques, supporting data sovereignty and regulatory compliance. • Scale analyses of large, complex datasets to extract meaningful insights and identify actionable opportunities. • Collaborate with stakeholders to scope projects and communicate key findings. • Monitor, evaluate, and improve the performance and explainability of AI solutions. • Develop and maintain clear documentation, experiment logs, and analytic artifacts.

• Design, develop, and maintain scalable data pipelines for ingestion, transformation, and delivery of large datasets across diverse industries. • Implement and ensure data privacy and security best practices, supporting data sovereignty and compliance with regulatory requirements. • Collaborate closely with AI/ML engineers, Data Scientists, and Platform engineers to enable advanced analytics and AI capabilities while retaining strict data control. • Optimize data platforms and systems for performance, reliability, and cost efficiency. • Build tools and frameworks for secure, privacy-preserving data processing and orchestration. • Develop and maintain documentation, data models, and technical workflows. • Partner with cross-functional teams to launch new data-driven product features and solutions.