1638 marketing English-speaking jobs in Berlin

Staff Software Engineer will drive reliability, quality, scalability, and efficiency of services within the Customer Logistics Choice Domain. Responsibilities include identifying architectural blockers, reliability risks, and cost leaks, determining solutions, and serving as a mediator on technical topics.

Working student supports modernization of a Java microservices platform. Tasks include reducing dependencies, evaluating libraries, improving build hygiene, and contributing to code quality.

Senior Technical Developer needed for Dynamics 365 Customer Service. Requires strong JavaScript skills, experience customizing Customer Service Workspace (CSW), and implementing Channel Integration Framework (CIF). Must be able to translate functional requirements into technical solutions.

Scientific and technical management of the in vitro DDI-Profiling laboratory, including personnel supervision. Design, coordination, optimization, and evaluation of studies to investigate drug-drug interactions. Continuous development of methods/assays and processes. Collaboration in interdisciplinary research projects. Training new employees and scientists. Supporting Business Development and Finance functions.

Sales Development Representative needed for weekend shifts (Saturday to Wednesday or Wednesday to Sunday). Responsible for converting warm leads into confirmed bookings, building client relationships, and achieving sales targets. Requires 2+ years of telesales experience, strong communication skills, and proficiency in CRM systems.

Finance Assistant will support the Director of Finance in managing the day-to-day operations of Accounting. Responsibilities include month-end closing, revenue management, accounts payable, and supporting monthly reporting.

Freelance Machine Learning Engineer to design and develop computationally intensive problems requiring Python programming and non-trivial reasoning. Must have a Master's or PhD in a STEM field, 5+ years of Machine Learning experience, and advanced English proficiency.

Build a PMO to support Novanta's innovations in healthcare and advanced manufacturing.

Build and enable internal tools and automation systems to empower Enpal's business ventures. Drive end-to-end projects from discovery and concept development to implementation and rollout. Apply analytical skills to identify bottlenecks, analyze stakeholder requirements, and build effective solutions.

Leads end-to-end pilot engagements to demonstrate the value of Zendesk AI through technical configuration, integration, and validation against success metrics. Collaborates with sales, solutions consulting, and customer success teams to build and implement AI solutions that address customer challenges and align with sales strategy. Owns pilot discovery, scoping, and delivery, ensuring successful testing and quality assurance of AI agents and Copilot. Maintains deep understanding of the Zendesk product suite, with emphasis on AI agents and Copilot. Evaluates pilot performance, tracks outcomes, and reports on success metrics.

Senior Product Manager will own a portfolio of developer-facing capabilities, including APIs, SDKs, and ecosystem integrations. Responsibilities include defining standards for external tool interactions, scaling the developer ecosystem, and driving technical strategy. The ideal candidate has 5+ years of experience managing developer-facing tools and a strong understanding of technical concepts.

This 6-month internship focuses on enhancing a diffusion-based traffic scene generation model for closed-loop simulation. The intern will improve the model's quality through training strategies, data representations, and a critic module for automated quality assessment.

Intern to support talent acquisition efforts. Tasks include reviewing applications, coordinating interviews, creating job advertisements, and managing the applicant tracking system. Must be a currently enrolled student pursuing a degree in a related field with excellent communication and organizational skills.

Senior Account Executive will build and scale a greenfield territory in DACH, driving net-new revenue from prospecting to close. You will position Weflow's Revenue AI platform to senior decision-makers and educate them on the value of Revenue AI.

Develop and implement automation systems and tools to improve operational efficiency. Collaborate with stakeholders to identify challenges and translate them into technical solutions. Apply software engineering principles, scripting, and database knowledge to build robust tools and integrations. Manage projects independently and communicate effectively with both business and technology teams.

The Lead Ecosystem Solutions role defines and implements the strategic direction for the ubitricity ecosystem, ensuring it supports company vision and business goals. Responsibilities include developing and enforcing network planning frameworks, creating market and customer insights, managing performance and lifecycle of ecosystem components, and driving cross-functional alignment between product, software, hardware, commercial, and operations teams.

Senior Business Manager guides professionals through structured leadership development pathways. Requires 7+ years of experience in business leadership, operations, recruitment, HR, or advisory roles.

Experienced HR professional sought for strategic talent engagement within a global leadership development organization. Develop talent strategies, conduct assessments, and guide professionals through development pathways.

Shape the end-to-end solution architecture for online and mobile banking, including designing secure and scalable Backend-for-Frontend (BFF) and service APIs. Collaborate with stakeholders across the bank to ensure alignment, design governance, and architectural consistency. Elevate engineering standards across web, mobile, BFF, and backend services by guiding cloud-native patterns, reliability engineering practices, threat modeling, observability, and secure SDLC principles.

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.