1957 English-speaking jobs in Berlin

Analyze and optimize the performance of Enpal's Virtual Power Plant, a system connecting solar panels, batteries, and heat pumps. Build dashboards, generate insights, and contribute to strategic decisions across Product, Operations, and Finance.

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.

This is a high-impact leadership role for a Director of Revenue Operations to design and execute a scalable revenue operations foundation for Capture One's global B2B organization. The role will own the end-to-end revenue engine (lead to renewal) and partner with Sales, Marketing, Finance, Legal, Product, and Technology to develop and optimize processes, tooling, data, and governance.

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.

Senior Frontend Architect (m/f/d) needed for a greenfield product used by an international pharmaceutical company. Shape the architecture of a data-intensive web application with visual process modeling, simulations, and scientific workflows.

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.

Senior Solution Architect to develop trusted advisor relationships with prospects and customers by educating, presenting, and conducting proof-of-concept engagements for Mirantis’ AI Infrastructure platform.

Senior Data Analyst with 8+ years of experience in data analysis and BI. Strong Python and PySpark skills required. Experience with Databricks, Snowflake, and ETL pipelines. Excellent communication and collaboration skills.

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 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.

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.

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.

As a Pre-sales Solutions Engineer, you will build technical assets, design and run PoCs using GenAI, manage demo environments, and deliver technical workshops. You have 3+ years of experience as an engineer using AWS, experience with GenAI, and are comfortable working across a breadth of AWS services.

Lead, mentor, and inspire a team of data engineers. Own the architecture, development, and operation of our data platform and pipelines. Act as the first point of contact for other data engineering teams on platform usage, data modeling, and best practices.

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.

Senior Data Scientist with 5+ years experience developing and deploying complex ML models in production. Proficient in Python, PySpark, and Databricks. Focus on pricing, forecasting, marketing modeling, and algorithmic optimization. Drives CI/CD automation and fosters a collaborative environment.

Senior Platform Engineer to design, implement, and improve infrastructure for an internal developer platform. Responsibilities include building scalable systems, identifying developer bottlenecks, and fixing bugs in the platform ecosystem. Requires strong knowledge of programming languages (Python, Go), AWS, Docker, Kubernetes, Terraform, and distributed computing.

Senior Platform Engineer will build and operate infrastructure-as-code and Kubernetes platforms across cloud environments (GCP and AWS). Responsibilities include designing, implementing, and maintaining production environments, improving platform usability, and partnering with teams to translate user needs into solutions.

Lead applied AI research and productization of AI automation solutions. Drive innovation across R&D, product, and customer success. Collaborate with teams to ensure customer requirements translate into robust AI features. Mentor and grow AI engineers and researchers.

Provides end-to-end technical support for hardware and software issues across various devices. Manages tickets, escalates incidents, and supports Microsoft 365, Azure AD, and other enterprise systems. Configures and manages devices using Intune, Jamf, and Snipe-IT.