Jobs in Germany

Product Partnerships Manager in Berlin

32 active opportunities · Updated October 2026

Explore current product partnerships manager jobs in Berlin. Filter by work mode, employment type, experience, department, date posted and distance.

S
📍 Berlin, Germany, Germany· Full-time
✓ Quality checkedCompany trend -100%

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. The Role: We're seeking commercially sharp Solutions Consultants to be trusted advisors to our customers, optimizing how Synthesia's platform best fits within their business environments and unlocking value across multiple workflows. As a Solutions Consultant, you'll be the strategic advisor who helps customers see where Synthesia creates the most impact across their organization. You'll run in-depth discovery and facilitate strategic workshops with senior stakeholders to uncover priorities and opportunities; design how Synthesia optimally solves their most pressing challenges; lead enablement that drives real behavior change and adoption; and own the path from deal close to first successful workflow and beyond. Discovery & Strategic Workshops Conduct in-depth, discovery conversations and facilitate workshops with senior stakeholders and practitioners to uncover business priorities, current workflows, technical constraints, and success metrics. Design and lead sessions that help customers envision how Synthesia supports a variety of workflows: whether for enablement, communications, training, operational efficiency, or other business functions. Build advisory relationships through thoughtful questioning, act

F
📍 Berlin, Germany· Full-time
✓ Quality checkedCompany trend -100%

Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey – from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams. Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What's the opportunity? We’re looking for Senior+ AI Infrastructure Engineers to build the systems that train and serve Fin's next generation of AI products. Fin is an AI company that builds from the GPU all the way up to a user agent that resolves millions of customer service queries a month. You’ll join a small, highly technical team working at the cutting edge of modern AI infrastructure. The AI Infra team built the training pipelines and runs the inference for custom models like Fin Apex, which outperforms frontier models in customer service tasks, and is the foundation of the AI Group's full stack approach to AI. We’re particularly interested in engineers who have: A track record of working on model training or model inference at scale , or on low‑level GPU coding (e.g. CUDA, Triton). Experience with one is great, multiple is even better. What will I be doing? As a Senior AI Infrastructure Engineer focused on model training and inference, you will: Implement and scale training pipeli

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