TeamViewer is a leading Digital Workplace platform that connects people with technology - helping organizations enable, improve, and automat
Führung, Weiterentwicklung und strategische Ausrichtung des Teams Data Engineering & Analytics mit Verantwortung für Personal, Ressourcen un
Identify and prioritize AI and automation opportunities across the organization.
& Verantwortlichkeiten Entwicklung der Cyber AI Strategie für Österreich Übernahme einer zentralen Rolle beim Ausbau unserer Marktposition a
Verantwortet Releases und Architekturentscheidungen für interne Spring-Boot/Angular-Produkte und etabliert Leitlinien für den KI-Tool-Einsatz in der Entwicklung.
Wir schreiben dir, sobald eine neue geprüfte Stelle in Österreich dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
Warum dieser Job gelistet ist
KI ist Gegenstand der Rolle (Kernbegriffe in Titel/Anforderungen). Prüfverfahren ansehen
: Translate partner, customer, and internal use cases into crisp product requirements, API contracts, integration specifications, acceptance criteria, and technical trade-offs that engineering teams can execute with confidence. - Drive partnerships from idea to adoption: Collaborate with Business Development, Partnerships, Engineering, Security, Legal, Sales, Customer Success, and external partners to evaluate opportunities, align joint roadmaps, remove blockers, and bring integrations successfully to market. - Create reusable platform capabilities: Scale integration work beyond individual projects by driving reusable connectors, documentation, enablement materials, observability, success metrics, and self-service patterns that can be adopted across TeamViewer products.
- Several years of experience in technical product management, platform product management, API products, enterprise integrations, developer ecosystems, AI products, or comparable B2B SaaS roles. - Strong technical fluency in APIs, data exchange patterns, webhooks, authentication and authorization concepts, integration middleware, cloud platforms, and enterprise-grade reliability, scalability, privacy, and security expectations. - Proven ability to define and deliver third-party integrations, excellent partner management skills, connector platforms, partner-facing APIs, or data-intensive products that connect multiple systems and workflows. - Curiosity and practical experience with AI and GenAI ecosystems, including LLM application patterns, tool calling, retrieval-augmented generation, AI framework integrations, agentic workflows, MCP, A2A, or comparable interoperability standards. - Comfort working closely with engineering teams on architecture, feasibility, technical dependencies, release planning, quality, observability, and operational readiness. - A customer- and metrics-oriented mindset, using discovery, market analysis, usage data, and business impact to prioritize integration opportunities and measure success. - Clear written and verbal communication skills in English; German is a plus. A technical degree in Computer Science, Engineering, Data Science, AI, or equivalent practical experience is preferred.
An attractive compensation package above the collectively agreed minimum basic salary (according to the IT-KV, standard level with classification ST1/rule) - 28 days of well-deserved holidays - Onsite Onboarding in our HQ office for an optimal start - Great compensation and benefits packages including company achievement bonus and regular salary reviews - Public transport friendly office - Special terms for local gyms - Access to Corporate Benefits platform with many discounts - Regular Team events and company-wide celebrations - Open door policy, no dress code rules, frequent All Hands and Leadership Lunches - Hybrid and Flexible work time with up to 50% home office - Work From Abroad Program allowing up to 40 days of work outside your contracting country - We celebrate diversity as one of core values, join and drive one of the c-a-r-e initiatives together with us! TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger.
As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race. If you require any accommodations or adjustments during the application or hiring process, including interview or onboarding support, please reach out to your Talent Acquisition Partner, who will be happy to support you.
TeamViewer is a leading Digital Workplace platform that connects people with technology - helping organizations enable, improve, and automate digital processes so work works better. Our solutions combine connectivity, data, automation, and AI to shape the future of digital work for millions of users around the world. We are looking for a technically strong and product-minded Product Manager to join our AI Product Team and shape how TeamViewer connects with partner systems, data sources, AI frameworks, and agentic ecosystems.
In this role, you will define and drive a cross-product integration roadmap that helps customers, partners, and internal teams unlock more value from TeamViewer products. You will work at the intersection of AI, APIs, data, enterprise software, and partnerships - turning technical possibilities into scalable product capabilities with real customer impact. Responsibilities - Own the integration strategy and roadmap: Define where and how TeamViewer should integrate with third-party systems across the product portfolio, balancing customer value, partner opportunity, technical feasibility, and long-term platform scalability. - Build impactful partner and data integrations: Identify, prioritize, and deliver integrations that connect TeamViewer with partner and customer systems to extract, contribute, synchronize, and operationalize data in secure, reliable, and enterprise-ready ways. - Shape our agentic AI ecosystem: Help define TeamViewer’s approach to AI interoperability, including integrations with AI frameworks, model and tool ecosystems, Model Context Protocol (MCP), Agent-to-Agent (A2A) patterns, and emerging standards for agent-to-tool and agent-to-agent communication. - Turn complex needs into clear product
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