Markus Haug

Tech Lead & Product Owner | Cloud Native & AI | Global Speaker

Currently, I work at SAP, focusing on core AI products, development frameworks, and cloud infrastructure. My primary mission is technical enablement: I engineer and ship developer education at scale, with content distributed across SAP Learning, Coursera, and live events, reaching millions of learners globally.

Internally, I also serve as the product owner and technical lead for a highly specialized agentic AI layer. I architected and lead the engineering of this advanced system, which autonomously generates, updates, and scales complex technical content for fast-moving product cycles. Integrated directly across our core learning platforms, it drastically reduces time-to-market for educational content. Beyond product development, I regularly design and deliver hands-on technical deep-dives for Fortune 500 & Big 4 engineering teams on cloud architecture and enterprise systems.

Markus Haug

Publications

2025
ACR'25 — Advances in Computing Research
Machine learning approaches for anomaly detection in cybersecurity, focusing on deep learning and generative models to identify and mitigate security threats in real-time systems.

Research Interests

  • Machine Learning & Deep Learning
  • Generative Models & AI
  • NLP and Computer Vision
  • Multi-Agent Systems
  • Cybersecurity Applications of ML

Academic Background

Professional Experience

Senior Product Learning Specialist at SAP

Leading global enablement strategy across product, developer, and partner audiences — and co-leading SME Studio, an AI-native content platform that ships at SAP scale.

  • Designing systems reaching 4.5M+ learners annually
  • Powering 2.9M+ active learners via AI-native platforms
  • Speaking globally at flagship tech events and conferences

Independent Engineering & Advisory

I take on a small number of advisory and build engagements each year — from architecture reviews to shipping a real MVP. Lean, focused, and senior throughout.

  • Software engineering
  • AI / ML engineering
  • Web & app development
  • MVP & product development