Overview Dynatrace is seeking to add an Engineering Intern to its D1 Support Operations team to address its growing need to enable customers to find the right information at the right time. As an D1 Support Operations Intern , your work will help create a world where software works perfectly. Your role at Dynatrace We are looking for a Business or Computer Science student with junior or senior level standing to join us this summer on our D1 Operations team. This is a full-time, paid internship. Responsibilities: Support the definition of a Support Knowledge Management strategy and processes Implement AI tooling to accelerate drafting articles and curating knowledge for customers Collaborate with our data science team to build quality controls to improve our LLM/agents The D1 Intern will partner with VP Operations, Director of Support Operations, Data Science, ML Engineers, and Director Support here and will gain hands-on industry experience in the Engineering field. What will help you succeed Education: Currently working towards a Bachelor's degree in Software Engineering or Information Systems Work experience: 0-1 Years Considering a career in Technology Familiar with one or more of the following technologies: LLM/AI Python Java Strong written and verbal communication skills Ability to work individually and in a team environment Why you will love being a Dynatracer Dynatrace is a leader in unified observability and security. We provide a culture of excellence with competitive compensation packages designed to recognize and reward performance. Our employees work with the largest cloud providers, including AWS, Microsoft, and Google Cloud, and other leading partners worldwide to create strategic alliances. The Dynatrace platform uses cutting-edge technologies, including our own Davis hypermodal AI, to help our customers modernize and automate cloud operations, deliver software faster and more securely, and enable flawless digital experiences. Over 50% of the Fortune 100 companies are current customers of Dynatrace. Compensation and Rewards $26/hour Full-time: 40 hours/week 10 weeks: June 8th - August 14th Hybrid

• Customer feedback loop: Structured system connecting Sales, Merchant Ops, and Integration insights directly into product discovery and planning. • Product context from the field: Translating sales demos and merchant interactions into actionable product intelligence (what works, customer expectations, objections). • Scalable processes: Clear frameworks for product involvement in custom solutions, demos, and merchant initiatives — replacing ad-hoc coordination with repeatable systems. • Feature rollout: Controlled deployment of new features to existing customers, including timing, communication, feedback collection, and iteration. • Team management & development: Design & Tech Writing teams.

• Design and implement cross-functional workflows that reduce friction and increase predictability across Engineering, Product, and Design • Own and improve core product processes: • Quarterly planning cycles • Request tracking/intake and prioritization • Cross-functional collaboration processes • New product introduction • Partner with product and engineering leadership to identify existing processes that create bottlenecks or unnecessary overhead and develop scalable solutions • Build lightweight measurement frameworks to understand process effectiveness, inform tradeoffs, and guide continuous improvement • Write and improve documentation across product documentation and process documentation (how we work, decision frameworks, planning templates, etc) • Establish and maintain the information architecture for product development documentation • Reduce reliance on tribal knowledge by building clear, trusted sources of truth • Partner with Engineering and Product teams to ensure release notes, technical documentation, and product updates are clear, consistent, and accessible • Drive adoption of documentation standards and practices across the organization

• Lead the integration, management, and optimization of the core Product stack (e.g., Jira, Pendo, Confluence) and its connection with organizational tools (e.g., Salesforce, Slack). • Configure and govern tools to minimize manual effort and maximize cross-functional visibility into product development and performance. • Act as the internal subject matter expert (SME), developing comprehensive documentation and training to ensure the entire Product organization utilizes our tools to their full, standardized potential. • Partner with the Data Analytics team to define and evolve our product telemetry strategy. • Own the Pendo platform, including tag management, guide deployment and Resource Center optimization for maximum user engagement. • Collaborate closely with Product and Engineering to enforce consistent conventions and ensure a robust data pipeline.