Level: Senior

Job Field: Product

Employment Type: Full Time

Contract Type: Permanent employment

Salary: from 3.843 € Gross/Month

Location: Linz

Working Model: Hybrid, Onsite

Job Summary

In this role, you will develop AI application ideas, define product requirements, and manage the product backlog to automate endpoint management and enhance the user experience for IT administrators.

Job Technologies

Adobe Experience Manager

Your role in the team

Develop an understanding of users, customers, markets, and competitors, especially towards opportunities to apply AI and data-driven approaches to solve customer requirements.
Formulate and communicate the product requirements for TeamViewer AI, create and own the product backlog, generate ideas for new features and use cases based on in-depth discovery work with customers.
Specify the Use Cases and Requirements, support the delivery and launches, and continuously observe the success of the Product and translate your insights into improvements.
Work across the organization with stakeholders from R&D, Product Management, Marketing, Sales, Solution Delivery and Business Development.
Translate industry AI trends into Endpoint Management needs to deliver context-aware recommendations and insights for IT admins and end users.
Automate End-Point Management and DEX: Apply generative AI to record sessions, generate recommendations and automations, and continuously update a self-help knowledge base and drive faster issue resolution to boost employee experience.

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Our expectations of you

Education

University Degree in Information Technology, Data Science, Business or related field.

Qualifications

Proven track record of product initiatives in the AI space.
Proficiency in product and project management.
Ability to work in a cross-functional, cross-location, and multi-skilled team.
Basic understanding of endpoint management, remote connectivity, and DEX solutions.
Deep knowledge of current AI, LLM, and Machine Learning technology.
Understanding of data management concepts and lifecycle (data ingestion, governance, enrichment, value creation).
Fundamental knowledge of Data Science and analytics, with the ability to translate between data-driven opportunities and product requirements.
Having worked with agile software development methodologies.
A proactive mindset, eagerness to learn, and strong collaboration skills.
Fluent in English; German is a plus.

Experience

Experience with user experience design and end user application of AI.
Customer centricity, experience in directly working with customers and partners in the software development cycle.

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