• Own the technical pre‑sale and post‑sale journey: scoping enterprise requirements, architecting configurations and integrations, delivering proof‑of‑concepts • Partner with Sales to lead technical discovery and pre‑sales for enterprise grooming, boarding, daycare, and franchise customers • Deliver consultative demos and technical walkthroughs tailored to executive and operational stakeholders • Design customized, scalable solutions aligning MoeGo’s platform capabilities (APIs, integrations, workflows, security protocols) with customer requirements • Create technical documentation, integration guides, and playbooks to streamline enterprise onboarding and support • Collaborate with Product and Engineering to communicate enterprise needs, recommend enhancements, and influence the roadmap

• Engage with several Snowflake customers • Lead technical streams of client data platform implementations and onboarding efforts • Work with Customer Engagement and Delivery teams for technical guidance, project management and functional support • Collaborate with various Snowflake departments (Engineering, Support, Sales, and Marketing) • Help clients troubleshoot their implementations and integrate the product • Identify, document, triage and track issues to ensure resolution • Contribute to the growth of the Customer Delivery and Training teams through documentation and process optimization • Apply industry and technology expertise to client implementations • Gather product feedback from customers for new features and capabilities

• Partner with regional Account Executives (AEs) and Solution Engineers (SEs) to identify, qualify, and develop AI/ML opportunities within US Majors accounts. • Conduct technical presentations, product demonstrations, and workshops focused on our AI/ML portfolio. • Architect and prototype foundational AI/ML solutions, including proof-of-concepts (PoCs) that demonstrate clear business value. • Serve as the technical bridge between customers and the central AI/ML Product and Engineering teams, synthesizing customer feedback and emerging requirements. • Maintain a current understanding of the competitive landscape and industry trends in AI/ML. • Drive sales acceleration through AI-assisted "hands-on-keyboard" development, creating Minimum Viable Products (MVPs) and prototypes.

• Uncover and understand business and technical requirements. • Design and architect technical solutions built on the Supabase platform. • Work with customers to lead proof-of-value implementations. • Provide regular customer engagements to answer complex questions, unblock adoption, and optimize scaled performance. • Design, build, and present Supabase platform demonstrations to high-value customers. • Collaborate directly with customers to determine the technical scope of a proof-of-value. • Set proof-of-value timelines, business outcomes, and success criteria.