Team lead machine learning engineer állás, munka

Create robust, scalable, and secure microservices that power our SaaS platform for governance Leverage AWS (serverless or migrations) with TypeScript Own services end-to-end (code, deployment, monitoring) Drive architecture discussions Regularly demo to the department Shape AI strategy by leading...

Develop and execute the product strategy for products within the Boards & Leadership Suite, aligning it with the company's overall vision, market trends, and customer needs. Define and prioritize the product roadmap based on market research, competitive analysis, customer feedback, and business...

• Support end-to-end product and vendor lifecycle management, ensuring system accuracy and product adoption and creation
• Support the vendor pricing strategy through collaboration with the profit team around exception and corrective management

As the owner of the transformation roadmap, you ensure alignment across all business functions and country organizations...

• Assess processes to identify improvement and automation opportunities.
• Collaborate with stakeholders and cross-functional teams to define actionable solutions.
• Define the needs for application and data landscape to enable automation and AI integration.

• You will lead a hybrid business and IT rollout team, managing operations in a dynamic international environment
• Your responsibilities will include implementing SAP S/4HANA and Salesforce across our global Sales & Service sites, based on a centrally integrated template

• Own and optimize the end-to-end service delivery of Microsoft Copilot across M365 applications (Outlook, Teams, SharePoint, Word, Excel, Loop, Copilot Agents)
• Drive adoption and usability improvements by collaborating with internal stakeholders and Microsoft product teams

• As a (Senior) Manager (m/f/d) you will independently work on commercial business processes of our customers and map them in their SAP systems
• You will be responsible for the continuous and further development of the system landscape as well as the interface development