• Own the technical discovery process with prospects • Build and deliver compelling technical demonstrations • Drive the conversation with computational and ML teams • Shape how Cradle tells its ML story externally • Feed insights from the field into the product and ML teams • Partner with and mentor other SSCs

• Confidently articulate the business and technical value of Neo4j to customers and prospects as a key technical advisor and advocate for our products and services • Actively drive and run the technology evaluation stage of the sales cycles. • Work across a number of opportunities in parallel and manage day-to-day activities such as opportunity qualification, technical discovery, presentations, platform and use case demonstrations, proof of value, sizing, and documentation of technical decision criteria. • Build and nurture rapport with customer stakeholders at all levels and be the trusted advisor to them to help them understand what they can achieve with Neo4j. • Co-create reference and solution architectures with our customers, including integrating Neo4j with their existing architecture and applications within a public cloud (AWS, Azure, or GCP) or on-premise environment. • Stay current on latest Neo4j capabilities, including but not limited to usage and integration with third-party tools and services. • Distill and communicate customer needs and product feedback to Product Management, Engineering, Marketing, and Sales. • Help drive demand through the participation in account-based marketing events as well as industry-known conferences and trade shows. • Lead by example and actively foster an environment of teamwork, transparency, creativity, and continuous improvement. • Travel as needed to assist in deal creation and closure, and provide support to your team as required.

• Guide customers through the end-to-end process of AI adoption—from requirements gathering and proof-of-concept development to deployment, integration, benchmarking and ongoing optimization. • Collaborate with our business/account team to identify technical needs, customer goals, and strategies. • Enable customer adoption of NVIDIA technology by mapping our solutions to their use cases and driving positive relationships with our technology partners. • Keep up to date on AI advancements in Digital Biology as well as relevant NVIDIA technology that enable this innovation. • Be a technical leader, bringing vision to the integration of NVIDIA technology into AI and HPC architectures for advanced applications, such as agentic AI, autonomous labs or drug discovery. • Engage with developers, researchers, data scientists, IT managers, and senior leaders internally and externally to gain experience in various technical areas. • Document knowledge and teach others through targeted training for partners and other Solutions Architects, writing whitepapers, blogs, and wiki articles.

• Design and implement a scalable, modern cloud-based data platform. • Architect and maintain batch and streaming data pipelines. • Define and enforce data modeling standards and governance practices. • Ensure platform performance, scalability, reliability, and security. • Lead technical design decisions and define long-term architectural roadmaps. • Review code, enforce engineering best practices, and guide future data hires. • Design data foundations to support forecasting, attribution modeling, CDP integrations, and marketing analytics. • Collaborate with Product, BI, and Data Science teams to create analytics-ready datasets. • Act as the internal technical authority for all data architecture decisions.