• Design end-to-end Salesforce B2B Commerce Cloud solutions aligned with business objectives. • Develop architecture blueprints, including data models, integrations, and platform customizations. • Ensure solutions are scalable, secure, and maintainable. • Able to propose solutions for multi-cloud projects with focus on B2B Commerce. • Able to advise clients on integration approach from a functional perspective. • Provide technical guidance to development teams on best practices, code standards, and Salesforce capabilities. • Support the implementation of customizations, integrations, and third-party applications. • Identify potential risks and propose mitigation strategies. • Expert skills in B2B Commerce cloud development and Salesforce Automations. • Work closely with business stakeholders to understand requirements and translate them into technical solutions. • Collaborate with project managers, developers, and QA teams to ensure timely delivery. • Conduct technical presentations and workshops for both technical and non-technical audiences. • Evaluate emerging Salesforce features and recommend improvements to enhance platform capabilities. • Contribute to the development of reusable architecture patterns and best practices.

• Apply your multi-cloud data architecture expertise while presenting Snowflake technology and vision to executives and technical contributors • Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle • Immerse yourself in the ever-evolving industry, maintaining a deep understanding of competitive and complementary technologies and vendors • Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing

• Actively participate in the sales process and work closely with the direct and channel sales teams • Discover and understand customer requirements and align our solutions to those requirements • Present SailPoint business functions, value, and competitive differences • Provide product demonstrations to prospective customers • Assist in developing RFP responses in coordination with our RFP response team • Participate in onsite and remote Proof of Value (POV) evaluations • Provide feedback to Product Management on product enhancements

• Integrate AI and machine learning models into production environments and business applications. • Collaborate with data scientists, software engineers, and product teams to design integration strategies. • Develop APIs, middleware, and interfaces to enable seamless AI model deployment and usage. • Ensure the scalability, reliability, and performance of AI integrations in real-world applications. • Monitor and troubleshoot AI system performance, identifying and resolving integration issues. • Optimize AI workflows and data pipelines to improve efficiency and accuracy. • Maintain documentation related to integration processes, architectures, and configurations. • Stay updated with emerging AI technologies and recommend new integration approaches. • Support the deployment and maintenance of AI-based solutions across various platforms.