227 marketing English-speaking jobs in Stuttgart

Requirements  Enrolled student in Marketing, Sponsorship, Events, Business, Communications, or a related ... Support brand and marketing tasks linked to sports and events (e.g., community engagement, brand visibility ... Some experience in events, marketing, or sponsorship (internships, student projects, coursework, volunteering

providing alignment to Field Sales, Marketing, Sales Operations, Sales Support and Operations. ... Partners and collaborates across Business, Product and Marketing Leadership and peer Alliance partners ... PROFILE Education: Bachelor’s Degree in Marketing or Business Administration preferred.   ... Lead and support the execution of marketing and opportunity identification programs and assist in creation ... Lead and interface between Sales Management and other functional ADP groups (BC, products, operations, marketing

providing alignment to Field Sales, Marketing, Sales Operations, Sales Support and Operations. ... Partners and collaborates across Business, Product and Marketing Leadership and peer Alliance partners ... PROFILE Education: Bachelor’s Degree in Marketing or Business Administration preferred.   ... Lead and support the execution of marketing and opportunity identification programs and assist in creation ... Lead and interface between Sales Management and other functional ADP groups (BC, products, operations, marketing

Align a marketing and commercial strategy for AI. ... Work across the organization with stakeholders from R&D, Product Management, Marketing, Sales, Solution

Department Marketing Locations Stuttgart, Göppingen, München, ... valuable insights for ongoing optimization Requirements Enrolled student (all genders) in the field of Marketing

Requirements Bachelor’s or Master’s degree in Web Design, Digital Media, Computer Science, Marketing

Collaborate with engineering, design/UX, data/AI, security, operations, marketing, sales, and support

product capabilities, and collaborate with various departments including Software Development, UX, Marketing

Work in close cooperation across departments (mainly with our IT, Legal, R&D, Marketing and HR teams)

student (all genders) at a university or college in the field of business administration, economics, marketing

Work across the organization with stakeholders from R&D, Product Management, Marketing, Sales, Solution

The role requires extensive collaboration across global and regional sales, marketing, enablement teams

Cross-Functional Collaboration: Work closely with engineering, product, and operations, marketing, support

product development process, collaborate with various departments including Software Development, UX, Marketing

self‑driven technical initiatives, participation in events such as industry trade shows and account‑based marketing

As Assistant Manager, you will support management, lead teams, and ensure smooth daily operations, processes, service, and sales. You will implement standards, guide the team, and maintain the commercial flow of the Stradivarius store in Stuttgart - Milaneo.

Lead and develop a team of ~10 engineers across multiple teams, fostering growth and a culture of trust and accountability. Partner with Lead Software Engineers on technical direction while improving delivery health and effectiveness through metrics and continuous improvement. Own hiring, onboarding, and performance management for your team.

Lead and scale a high-performing engineering organization, build a predictable delivery system, and own technical strategy and architecture for a scalable B2B SaaS platform.

As a Data Scientist - Forward Deployed Engineer, you will design predictive models, conduct experiments, and uncover insights to drive product innovation. You will define ontologies and knowledge graphs, collaborate with engineers and domain experts, and operationalize models at scale. You will focus on delivering and scaling AI solutions by embedding into client teams, deploying assets, and refining them.

Data Engineer with 3+ years of experience in cloud-based data engineering using AWS services. Expertise in Python development, data workflows, knowledge graphs, and Neo4j. Strong experience with relational databases, Docker, and CI/CD pipelines. Focus on deploying, debugging, and running data systems to deliver and scale AI solutions.