Jobs in Germany

Product Developer in Germany

94 active opportunities · Updated October 2026

Explore current product developer jobs across Germany. Filter by work mode, employment type, experience, department, date posted and distance.

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Golf. A golf role or an employer dedicated to golf.
📍 Kjus Brand Store Munchen, Germany
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

KJUS is dedicated to amplifying the world's most exhilarating golf and ski experiences. We achieve this through miraculous technology that goes beyond innovation, setting entirely new standards for performance, comfort, and protection. Our shared passion for golf and ski drives us to create incredible products that empower our loyal customers to fully enjoy their passions. For us, it’s not just a job—it’s a joyful obsession. As a result, KJUS products are found in the most remarkable ski and golf destinations worldwide. The KJUS headquarters are in Boulder, Colorado, with satellite offices in Switzerland and Scotland. Our showrooms can be found worldwide. In 2019, Acushnet Company partnered with KJUS, joining our brand with other fantastic labels like Titleist, FootJoy, Scotty Cameron, and Vokey In this position, you will report directly to the Store Manager and will be responsible for the following tasks : Provide professional advice and service to customers, including the active sale of all KJUS products Handle all cash desk operations, including payments, exchanges, returns, and daily opening and closing procedures Ensure the collections are presented in an attractive, clean and professional manner, including visual merchandising of the sales floor Maintain the cleanliness of the sales area, including floors, fitting rooms, mirrors and display units Manage merchandise, including labelling, sorting, assortment maintenance and ordering Coordinate stock between the warehouse and the store Actively build and maintain strong customer relationships Candidate requirements : Completed vocational training in sales/retail, with professional experience in a similar position, preferably within the textile, fashion or sporting goods industry Very good command of German and English Good IT skill

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Relocation support. Relocation assistance is stated. This does not establish visa sponsorship.
📍 Berlin, Germany· Full-time
✓ Quality checkedCompany trend -100%

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: The Airbnb Hotels organization, which includes HotelTonight, is a fun, entrepreneurial, start-up team where you can have outsized impact. Simplicity is at the core of our products. We pride ourselves on delivering the smoothest and most intuitive hotel booking experience. For hotels, we make it easy to drive incremental bookings so they can focus on the craft of hosting. We aspire to facilitate hotel discovery and serendipity at scale, benefitting guests and hotel partners. The Difference You will Make: As a Market Coordinator, your role will entail ensuring the health and expansion of our supply in Europe and providing support to your regional team in executing projects and providing partner support. This will involve reactive account management of hotels and assisting the Market Managers in onboarding and optimizing the accounts. Aside from escalations and support to Tier 1 and 2 partners, this candidate will also be expected to deploy scale tactics and reactive management of Tier 3 accounts. This position is ideal for candidates who can juggle multiple projects and priorities while fostering collaboration with other teams. Additionally, we’re looking for someone with a deep understanding of Airbnb's mission and values, who can think outside of the box but always puts the team first. This role is based in Berlin (hybrid, 2 days a week in the office), and is not eligible for relocation support. A Typical Day: Build, manage and expand partner relationships in Tier 3 markets as well as providing white-glove support to our Tier 1 accounts with anything from content u

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📍 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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