• Identify, build, and demonstrate Smartsheet solutions that solve specific customer problems • Lead technical sales engagements, collaborate closely with sales teams to identify customer requirements, summarize challenges, design solutions, and provide technical guidance that demonstrates the value of Smartsheet's offerings • Conduct discovery sessions to uncover business processes and challenges to inform the sales and solution delivery strategy • Partner with Sales, Product, Customer Success, and Professional Services teams to provide a great overall customer experience and drive revenue growth • Grow and maintain knowledge for all Smartsheet products, services, and competitors • Participate in cross-functional and department-wide projects that support strategic initiatives • Provide feedback to Product teams to ensure that our solutions continue to align with customer needs • Periodically travel to customer sites as a technical subject matter expert • Support other duties as needed

• Lead structured discovery sessions with clients to assess workflows and technology environments • Architect end-to-end solutions across people, process, and technology components • Develop prototypes independently using AI/ML tools, LLM APIs, and low-code platforms • Design and execute proof-of-concept models to demonstrate business value and feasibility • Translate validated use cases into scalable APM modules and detailed production specifications • Serve as a primary intake point for AI-related opportunities across the organization • Partner with AI Factory engineering teams to ensure clarity of requirements during handoffs • Define success criteria, performance expectations, and technical constraints for AI solutions • Collaborate with Sales and leadership to evaluate the feasibility and fit of new opportunities • Monitor the alignment between designed solutions and delivered outcomes to support continuous improvement

• Lead end-to-end Atlassian Cloud migration engagements for enterprise customers, from assessment and planning through execution and stabilization. • Design migration strategies for Jira and Confluence using tools such as Jira Cloud Migration Assistant (JCMA) and Confluence Cloud Migration Assistant (CCMA). • Assess complex Atlassian environments, including Jira Software, Jira Service Management, Confluence, Bitbucket, and Marketplace apps and custom configurations, workflows, permissions, automations, and integrations. • Analyze and rationalize apps, customizations, and integrations as part of cloud readiness. • Leverage strong SQL and data analysis skills to validate data integrity, migration outcomes, and reporting accuracy. • Assess and redesign integrations to cloud-native patterns using REST APIs, webhooks, and automation. • Communicate migration risks, tradeoffs, and progress clearly to both technical teams and executive stakeholders.

• Partner with IT leadership to support the design, implementation, and progressive ownership of integrations connecting multiple SaaS and business platforms into a centralized, Azure-based data repository (e.g., Azure SQL, Azure Data Lake, Azure Storage). • Assist in building and maintaining automated data pipelines and ETL/ELT processes, with the expectation of quickly growing into independently managing these workflows to support enterprise reporting and analytics. • Support the design and refinement of data models optimized for Power BI consumption, including relationships, normalization, and performance considerations, while developing the skills to eventually own these models end-to-end. • Help ensure integrations adhere to security best practices, including identity management, access controls, and governance standards, learning how to apply these principles independently as responsibility increases. • Develop and support automation and data orchestration using Python and JavaScript, including scheduled jobs, API-based integrations, and data transformation scripts, with mentorship and code review from senior team members as you grow toward independent ownership. • Work with JSON extensively for API payloads, configuration templates, policy definitions, and data interchange, gaining fluency in designing and maintaining structured, reliable integration patterns. • Contribute to the creation of reusable integration components and internal tooling, initially extending existing frameworks and gradually taking responsibility for designing solutions that reduce manual effort and improve system reliability. • Follow established version control practices, documentation standards, and coding conventions for all automation artifacts, with the expectation of quickly adopting best practices and maintaining production-quality code independently. • Support the troubleshooting of cross-platform data flow issues, including API errors, authentication challenges, and automation failures, working alongside senior engineers while building the experience to diagnose and resolve issues independently. • Assist in creating and maintaining standard operating procedures, architectural documentation, and integration runbooks, with the expectation of taking increasing ownership of documentation quality and operational readiness over time. • Collaborate closely with business stakeholders to help gather data requirements and validate reporting-ready data sets, developing the communication and analytical skills needed to translate business needs into reliable technical solutions. • Gradually grow into a mentoring role by sharing knowledge with IT team members on integration techniques, cloud data patterns, and Microsoft 365 best practices as experience and confidence increase.