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Backend Engineering · Hybrid, Portugal
HEY THERE!
We are Mercedes-Benz.io. Our mission is to ignite and build the digital solutions for Mercedes-Benz by forming a tribe of digital enthusiasts that drive Mercedes-Benz digital future.
Therefore, we offer 100% flexibility! You can choose if you want to work from your mobile office in Portugal, or from our offices in Lisbon or Braga. It's up to each of us to decide according to our needs.
We don’t care about your shoes, as long as you are wearing the right attitude. At Mercedes-Benz.io we walk the talk and make things happen. We do not digitize for the sake of being digital but for a better tomorrow for our customers. That’s not our job; it’s our passion. Therefore, we love to reflect and challenge everything – the status quo, Mercedes-Benz, and ourselves. We share the same beliefs and stand up for each other and this is why we hire unique people to join our Tribe of digital enthusiasts.
WHAT IS COMMERCE?
At Mercedes-Benz.io, our E-Commerce team focus specifically on the purchasing phase of the customer journey and is dedicated to providing a seamless and luxurious digital sales experience for our customers around the world.
As an integral part of Mercedes-Benz's digital transformation, we lay the foundation for reshaping sales strategies and business processes. Our cloud-based SAP Commerce platform serves as the technological core of our online sales solutions, which we design, operate, and maintain.
With a focus on innovation and customer satisfaction, our program helps Mercedes-Benz stay ahead of the automotive industry, providing customers with the best possible digital buying experience. By working closely with our customers, we ensure that we understand their needs and continuously improve our solutions. If you're passionate about E-Commerce and digital transformation, we are thrilled to welcome you in our team to shape the future of automotive sales.
IN THIS ROLE YOU WILL
TO SUCCEED YOU NEED
OUR TECHNOLOGY STACK
We use the most advanced software solutions, tools and architectures:
YOU WILL BE HAPPY WITH
THIS IS WHAT OUR PROCESS LOOKS LIKE
WHAT YOU'LL NEED TO KNOW ABOUT US
Mercedes-Benz.io develops software and technology for the digital platforms of Mercedes-Benz. Our main products are the Mercedes-Benz Website worldwide, the e-commerce platform, digital services and aftersales solutions.
We have a fantastic team with people from all over the world. We encourage frequent collaboration and pairing across disciplines. English is the main working language.
Mercedes-Benz.io is an equal opportunities employer. We believe that diverse experiences and a broad collective perspective lead to a better company culture and better products.
Interested in engaging with a continuously evolving company to work hard, play hard and party hard? If so, please send your resumé (in English and PDF).
Feel free to contact for further information and answers to your questions.
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Pedro Reis · May 15, 2024
I was recently given the chance to assess how Gen AI tools could improve our developer experience at Mercedes-Benz.io, and as if that was not enough, I was later challenged to share my thoughts and experience with you, dear reader.
Patrícia Fernandes · April 29, 2024
Between April 15th and 19th, 2024, our tribe was present at SINFO - the biggest free tech event in Portugal.
Gonçalo Marques, Tiago Santos · March 27, 2024
In the first part of this article, we went through the definition and history of Generative AI through the ages. In this second and final part, we will develop on the many tools and possibilities Generative AI has allowed us, while also looking into its impact on society.
Bernardo Oliveira · March 26, 2024
Across the life journey, some aspects of life become more relevant than others, they make us even more unique in our uniqueness. Our professional life is merely a reflection of it.
Daniel Thielsch · March 22, 2024
In the ever-evolving landscape of natural language processing (NLP) and artificial intelligence, one concept has recently emerged as a promising approach to enhance the capabilities of large language models (LLMs): Retrieval Augmented Generation (RAG). This innovative technique combines the power of LLMs with the contextual knowledge derived from preexisting data sources, enabling more informed and accurate responses to user queries.