• Guidare la definizione e l’implementazione di architetture complesse • Coinvolgimento in progetti strategici • Collaborare con team per garantire soluzioni tecniche allineate agli obiettivi dei clienti • Gestire stakeholder IT e business

• Acting as the primary point of contact for new small-to-mid property managers throughout onboarding • Driving conversions through compelling, detailed virtual product demos • Helping prospects set up accounts and optimise initial usage (rules, automation, best practices) • Clearly communicating value proposition, ROI, and relevant use cases • Consistently meeting and exceeding defined performance targets • Maintaining accurate account information and history in the CRM with Sales Ops • Enabling smooth handover for accounts that scale beyond mid-market to the relevant teams

• Partner with CxOs, VPs, and senior architects at health systems, payers, and partners to craft transformative data and AI platform strategies using Gravity. • Own and deliver executive-level architecture briefings, technical deep dives, and co-innovation workshops. • Drive solution design and technical validation across use cases such as care coordination, risk stratification, prior authorization, RCM acceleration, and digital front door. • Serve as a platform evangelist—representing Innovaccer in customer briefings, industry events, and partner ecosystems. • Guide customers through the build vs. buy journey, technical roadmapping, and platform deployment options (cloud-native, multi-tenant, hybrid). • Work closely with Gravity product managers and engineers to align roadmap priorities with market demand and client feedback. • Lead technical pre-sales efforts for strategic RFPs, POCs, and sandbox deployments. • Collaborate with SMEs in interoperability, clinical informatics, and data governance to design scalable, standards-aligned solutions. • Support GTM motions across providers, payers, and life sciences—from initial pitch to expansion. • Mentor Solution Architects within the team, giving them opportunities to develop and grow

• Lead architecture and implementation of large scale healthcare data and AI platforms • Design end to end solution architectures spanning cloud infrastructure, data pipelines, AI ML systems, and application layers. • Build and operationalize advanced AI capabilities including LLM based systems, RAG pipelines, and model orchestration frameworks. • Apply strong statistical fundamentals to model design, validation, performance measurement, and decision making. • Work directly with customer environments that are complex, fragmented, and imperfect and drive solutions to production despite constraints. • Develop and deploy systems that handle large volumes of healthcare data including claims, clinical, and financial datasets. • Own reliability, performance, scalability, and security of deployed solutions. • Integrate AI solutions into existing enterprise workflows and systems • Troubleshoot and resolve complex data quality, system, and model issues in production. • Collaborate closely with product and engineering leadership to align platform capabilities with real world needs. • Establish technical standards and best practices across data engineering, AI ML, and cloud architecture. • Mentor senior engineers and raise the technical bar across teams