Prozis, a product development company, encourages spontaneous applications from potential team members who are passionate about their mission and products. The company values creativity, quality, and innovation across a wide range of operations, including design, manufacturing, marketing, and sales. They are looking for proactive individuals who resonate with their vision of exceeding expectations.

As a Partnership Coordinator for the Polish Market, you'll manage leads, negotiate affiliate programs, and build relationships with partners. You'll require project management skills and knowledge of social insights tools to enhance brand engagement.

The Partnership Coordinator for the German Market will manage and increase leads by contacting prospects and negotiating affiliate programs. A strong emphasis will be placed on building relationships with partners, requiring excellent communication and project management skills. Knowledge of the German fitness market and related trends is essential.

As an HR Generalist, you will manage the recruitment process, support onboarding, aid employee development, and address HR-related topics. You'll work on HR policies and analytical reports while fostering a positive work environment and strong communication with employees and management.

The Partnership Coordinator for the Italian Market will manage and increase leads, contact new prospects, explain affiliate programs, and build relationships with partners. Strong communication skills and knowledge of social insights tools are essential. A keen interest in sports and understanding of fitness trends in Italy are required.

The Partnership Coordinator will manage and increase leads by contacting current and new prospects, explaining affiliate programs, and building relationships with partners. The role requires strong communication skills and an understanding of affiliate marketing and fitness trends. Enthusiasm and a positive attitude are essential.

As an ERP Software Developer at Prozis, you will develop new solutions for the ERP system, maintain and support existing operations, and engage in data modeling. Strong knowledge of object-oriented programming and SQL is necessary, along with an understanding of the company's business operations.

As a Business Data Scientist at Prozis, you will analyze large datasets to extract insights and design machine learning models to enhance customer engagement and operational efficiency. Collaborating with various stakeholders, you'll explore and manipulate data from diverse sources and perform proactive data exploration to identify future opportunities.

As a Data Engineer at Prozis, you will create and maintain data pipelines, manage data platforms, and develop data science models. You will work with a multitalented team and leverage data for business insights, requiring strong technical skills and communication capabilities.

As a DevOps Engineer at Prozis, you will support business processes, maintain shared infrastructure architecture, and collaborate with development teams to deploy and monitor applications. Your responsibilities include building developer tools, extending CI/CD pipelines, and improving service observability.

The Automation Engineer will develop and implement automation solutions to optimize industrial processes, integrate various automation systems, create efficiency tools, and solve technical problems related to automation. They will also be responsible for testing and validating both software and hardware solutions.

As a Computer Vision Engineer, you will create prototypes, develop neural networks, and implement deep learning techniques to interpret images. You will analyze data, work with point clouds, and combine statistics and machine learning to solve complex challenges.

Join the Mobile Innovation Team at Prozis to develop and improve the Prozis Go App for integrating data from various devices. Collaborate with a young team to create high-quality mobile products and enhance user experience with a focus on detail and teamwork.

As a Data Analyst at Prozis, you will collect, analyze, and interpret complex data to identify business trends. Responsibilities include working with datasets, cleaning data, analyzing to provide insights, creating reports, and ensuring data quality while communicating findings effectively.