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. 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.

We offer this role full-time and are happy to consider part-time options starting at 30 hours per week.

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.

• 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).

• We offer attractive compensation packages and stock purchase options with numerous benefits and advantages.
• Due to legal reasons, we are obliged to disclose the minimum salary for this position, which is € 65,000 gross per year based on full-time employment. We offer a higher salary in line with qualifications and experience.