Digital workplace platform for remote access, monitoring, and IT support
TeamViewer operates a Digital Workplace platform built on C#/.NET and C++ backend, with React frontend, running on Linux and Cassandra infrastructure—now adopting Azure and AKS while migrating away from Jira. The tech stack reveals a pivot toward AI: heavy investment in ML tooling (PyTorch, TensorFlow, scikit-learn, LangChain, RAG, vector databases like Pinecone and Weaviate) alongside active LLM application projects, signaling a move to embed generative AI into remote support and augmented reality workflows. Hiring is accelerating with 228 roles posted in the last 30 days, split heavily between engineering (164) and sales (127), matching the dual pressure of scaling a global SaaS platform and expanding channel reach.
Notable leadership hires: Team Lead, Account Director, Software Development Lead, Software Development Director, Inside Sales Lead
TeamViewer provides a Digital Workplace platform connecting people with technology to manage remote access, device monitoring, and IT support at scale. The company serves 635,000+ customers globally, from small businesses to large enterprises, helping them prevent downtime, secure device landscapes, and enhance processes with augmented reality and AI-powered assistance. TeamViewer is headquartered in Göppingen, Germany, with around 1,900 employees and operates across 22+ countries. Core infrastructure includes a global SaaS platform, remote management solutions, and a growing set of LLM and data intelligence capabilities to address digital transformation challenges.
Backend: C#, C++, .NET, Python, Spring. Frontend: React. Infrastructure: Linux, Docker, Cassandra. Data: SQL, pandas, SQLAlchemy, PyTorch, TensorFlow, LangChain. Now adopting Azure and Azure Kubernetes Service; migrating away from Jira.
Active projects include TeamViewer One (unified remote management platform), global SaaS platform infrastructure, LLM applications, CRM optimization, DEX (Digital Employee Experience) platform enhancements, monitoring and alerting systems, and endpoint management automation.
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