**Your role at Dynatrace** -------------------------- We believe in innovation through applied research. Across our European R\&D offices—including Linz, Barcelona, and Vienna—engineers and researchers collaborate to build next\-generation technologies that turn complex telemetry into clear, actionable insights. Our focus is real\-time analytics at massive scale. Processing millions of metrics, logs, traces, and RUM events demands efficient algorithms, scalable architectures, and robust pipelines for ingest, storage, and low\-latency anomaly detection. Core research areas include: * Transaction processing, query optimization, and indexing/search * Distributed systems, stream processing, and large\-scale data analysis * Databases, storage, caching, and new system architectures * LLM/RAG\-based insights and pattern detection for observability use cases These efforts enable rapid prototyping, measurable production impact, and a clear path from research to roadmap. **Role description:** We’re hiring an applied AI researcher who bridges product management and software engineering. You will own end\-to\-end discovery and prototyping for AI in Digital Experience Monitoring (DEM): understand user pain points and telemetry signals (RUM, logs, traces, metrics), identify high\-impact AI opportunities, build proof\-of\-concepts with our in\-house stack and modern AI tooling, and partner with PMs and engineering to land them on the roadmap. **Your tasks:** * Bridge product and engineering to discover, prototype, and validate AI capabilities for DEM. * Conduct applied research in scalable data processing; design efficient algorithms and architectures for large\-scale data (e.g., pattern detection, multi\-dimensional cube analytics). * Build preprocessing pipelines for high\-volume telemetry (logs, metrics, traces, RUM) and apply LLMs/generative AI to surface user insights. * Rapidly prototype features (e.g., incident summaries, anomaly/root\-cause hints, UX pattern insights), harden for scale, and define success metrics. * Collaborate with engineering and stakeholders to operationalize algorithms; present findings to PM/dev teams and drive roadmap inclusion. * Ensure privacy, security, and responsible AI; monitor production impact and iterate based on feedback. **What will help you succeed** ------------------------------ * PhD/MSc in Computer Science, AI, or related field; track record of independent research (publications/conferences). * Strong software engineering background (ideally Java) and experience building data analytics systems with ML frameworks. * Expertise/interest in performance optimization and algorithms (indexing, pattern matching, sketching, query optimization). * Hands\-on with streaming/batch data (Kafka, Flink/Spark), OLAP/time\-series analytics, and vector search/RAG with LLMs. * Familiarity with observability/DEM signals (RUM, logs, traces, metrics), anomaly detection, and multivariate time\-series modeling. * Clear communicator with strong stakeholder skills; excellent English (oral and written). **Why you will love being a Dynatracer** ---------------------------------------- * A one\-product software company creating real value for the largest enterprises and millions of end customers globally, striving for a world where software works perfectly. * Working with the latest technologies and at the forefront of innovation in tech on scale; but also, in other areas like marketing, design, or research. * A team that thinks outside the box, welcomes unconventional ideas, and pushes boundaries. * An environment that fosters innovation, enables creative collaboration, and allows you to grow. * A globally unique and tailor\-made career development program recognizing your potential, promoting your strengths, and supporting you in achieving your career goals. * A truly international mindset with Dynatracers from different countries \& cultures all over the world, and English as the corporate language that connects us all * A culture that is being shaped by the diverse personalities, expertise, and backgrounds of our global team. **Compensation and Rewards** ---------------------------- * We offer attractive compensation packages and stock purchase options with **numerous benefits and advantages.**