• Provide support to clients through different channels. • Assist in the daily operational processes that connect Product, Finance, and Operations and comply with SLA. • Support data validation and reconciliation tasks to ensure accuracy across systems. • Collaborate with the Product and Engineering teams to identify process improvements and automation opportunities. • Help build and maintain dashboards and reports to track key business and operational metrics. • Contribute to the implementation of new product features from an operational and financial perspective. • Participate in testing and validating new tools or processes before rollout. • Support the creation and documentation of standard operating procedures (SOPs). • Help identify inefficiencies and propose data-driven solutions to enhance our internal operations.

• AI-Native Product Lifecycle Transformation: Redesign and operationalize the end-to-end product lifecycle to embed AI across planning, design, development, testing, documentation, support, and release workflows • Product Operating System Architecture: Define and evolve the architecture, tooling, and systems that support an AI-native product lifecycle • Build and deploy automation and agent-driven workflows that reduce manual overhead and increase execution speed • Product Intelligence & Decision Systems: Build AI-assisted roadmaps and launch communication systems that connect product strategy through execution and go-to-market delivery

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.