About Rhino Rhino Federated Computing Rhino solves one of the biggest challenges in AI: seamlessly connecting siloed data through federated computing. The Rhino Federated Computing Platform (Rhino FCP) serves as the ‘data collaboration tech stack’, extending from providing computing resources to data preparation & discoverability, to model development & monitoring - all in a secure, privacy preserving environment. To do this, Rhino FCP offers flexible architecture (multi-cloud and on-prem hardware), end-to-end data management workflows (multimodal data, schema definition, harmonization, and visualization), privacy enhancing technologies (e.g., differential privacy), and allows for the secure deployment of custom code & 3rd party applications via persistent data pipelines. Rhino is trusted by >60 leading organizations worldwide - including 14 of 20 of Newsweek’s ‘Best Smart Hospitals’ and top 20 global biopharma companies - and is leveraging this foundation for financial services, ecommerce, and beyond. The company is headquartered in Boston, with an R&D center in Tel Aviv. About the Role We are seeking a technically proficient, business-minded Solutions/Sales Engineering Lead to help push the frontier of Federated Computing AI with our customers. You'll work with our highly strategic customers guiding them through ideation, discovery, presentation, demonstrations, architecture design, collaborating with C-level to technical buyers and users, and providing RFI/RFP responses. You will collaborate closely with Sales, Forward Deployed Engineering, Customer Experience, and Product teams. Key Responsibilities - Provide technical expertise, discover pain points, and showcase the Rhino value proposition through presentations, meetings, and written artifacts in coordination with the Rhino sales and product teams. - Partner with business stakeholders to understand the customer needs, guide their AI and data strategy, and identify high value use cases and applications of Federated Computing. - Deliver pre-built demos and build awesome custom demos and reference architectures aligned with customers’ use case and integration needs. - Create customer specific documents, presentations, guides, and blogs demonstrating capabilities of the Rhino platform. - Scope and execute pre-sales pilots and nurture strong customer relationships during the product evaluation and review process. - Demonstrate the value of product capabilities and recommend workflow and architectural patterns for implementation. - Provide feedback and collaborate cross-functionally with product and engineering teams to address customer issues with a focus on improving the product experience. - Build and maintain relationships with technical stakeholders within customer organizations. - Take full ownership of problems from start to finish, driving success for both the team and our customers. Required Skills - Excellent communication and interpersonal skills. Effective presentation and demonstration skill and ability to translate business and technical concepts for all types of audiences including senior executives. - 5+ years of experience in technical pre-sales or post-sales roles (sales engineer, solutions engineer, customer engineer, solutions architect, customer success engineer) working directly with customers at every layer of their organization (C Suite to data scientists and developers) and acting as a trusted advisor for the users and buyers. - Demonstrated creativity in problem solving and thought leadership in Data, AI, Security, Cloud and related technologies. - Hands-on experience with Cloud, Data Platform or AI platform technologies. - Experience in delivering live prototypes using platform products. - Strong organizational skills and ability to manage multiple customer needs simultaneously. - Willingness to up level the knowledge and skills through mentorship, reading, training and shadowing. Preferred Skills - Deep AI Workflow Knowledge - Modeling, Instruction Tuning, Fine tuning, and Inference. - Data Engineering stack. - Familiarity with Kubernetes and Dockers. - Healthcare, Life Sciences, or Financial Services domain experience. - Degree in a quantitative field, with computer science or engineering. Location Boston preferred. Consider Remote.