We are looking for an Engineering Manager with a Machine Learning (ML) focus to join us in Berlin or remotely. Reporting directly to the CTO, you will support our ML engineers, who build solutions involving Large Language Models (LLMs) and Natural Language Processing. As their people manager, you will enable your engineers to grow professionally and empower the team to work efficiently. As part of a creative cross-functional team, you will work on products that directly improve the search experience of millions of users, for example, understanding user intents or providing instant answers to users’ queries. In addition, you will assist your team in establishing AI best practices and growing the company’s knowledge in ML and Data Engineering practices. Together with your product and engineering management peers, you will support our equitable, inclusive, curious, and fun Engineering culture. Become part of our journey to innovate with AI!<h2>What you'll be doing</h2><ul style=""><li>Empower the team by removing roadblocks, enabling decisions, resolving tensions, and providing tools and support.</li><li>Facilitate AI innovation by addressing AI-specific challenges, coordinating research and delivery, and ensuring the timely execution of projects and experiments.</li><li>Collaborate &amp; advise: partner with cross-functional teams, guide strategic AI and data investments, and review environmental, ethical, and privacy risks.</li><li>Shape engineering strategy with the CTO and peers, and help attract, recruit, and onboard diverse, skilled professionals.</li><li>Promote growth &amp; learning: hold regular one-on-ones, mentor and coach for career development, and encourage knowledge sharing and continuous improvement.</li><li>Champion fairness &amp; inclusion: ensure equitable performance reviews and compensation, and co-create a collaborative culture aligned with our values.</li></ul><h2>What you bring</h2><ul style=""><li>You enjoy developing and growing people and have a documented history of leading, managing, coaching, and mentoring engineers for at least 3 years.</li><li>You possess a robust background in Machine Learning (including technologies such as Natural Language Processing, Classification, Embeddings, and LLMs), showcasing the ability to effectively guide the team in ML initiatives through the whole life cycle (from creating datasets to monitoring in production)<ul style=""><li>Solid understanding of LLMs and their deployment in real-life applications. In contrast to just having used LLMs for prototypes or ML training data.</li></ul></li><li>You have prior experience working as a software, data, or ML engineer, or data scientist, and know how to apply modern engineering practices to ensure continuous delivery and experimentation.</li><li>You have hired for engineering positions, supporting diversity and understanding the importance of creating an inclusive workplace.</li><li>You have a bias towards action and pragmatism, both in your own work and in your enablement of others.</li></ul><h2>Hiring process</h2><ul style=""><li>Recruiter screen 30'</li><li>Management Interview 60'</li><li>Technical Interview 75'</li><li>Product Management and Culture Interview 75'</li></ul><h2>Why Ecosia?</h2>What if your job made a real difference in the climate crisis? Join Ecosia and help plant millions of trees where people and ecosystems need them most.<ul style=""><li>We are a diverse team, committed to equality, equity, and inclusion, with members from various backgrounds: sexual orientations, genders, ages, races, ethnicities, nationalities, physical and mental disabilities, family structures, and religions.</li><li>We offer you the opportunity to balance work with other parts of your life: flexible working hours, 30 vacation days per year (based on a five-day workweek), designated Focus Times, and remote work options. (Note: Not applicable to freelance contracts; different labor laws may apply in other countries.)</li><li>Our green benefits program - including subsidized public transport cards and bike inspection services - supports your sustainable living choices in Berlin. (Availability may vary by location; not applicable to freelance contracts.)</li><li>We support your professional growth through learning times, hack days, online and physical libraries, and continuous feedback. (Not applicable to freelance contracts.)</li></ul><h2>Q&amp;A</h2><h2>How many people work at Ecosia?</h2>115 (July 2025): our departments include Engineering (incl. Platform and QA), Product (incl. Design), Trees, Operations (incl. Marketing, B2B &amp; BI), and People and Culture.<h3></h3><h2>Where is Ecosia based, and what kind of work setup do we have?</h2>We are a remote-friendly company with one office in Berlin-Wedding. People come to the office or work from home per their wishes and/or circumstances. Some roles require presence in the office at least from time to time. Company language: English. The Talent Partner will tell you more.

Search the web, save the environment! Ecosia is a CO2-neutral search engine that donates 80% of its income to a tree planting program in Brazil.  There are all kinds of problems in their modern world that need fixing. At Ecosia, they want to do their share to find and support innovative solutions to as many of these problems as they can. As part of their mission to cultivate a more environmentally, socially and economically sustainable world, they want to support the planting of one million new trees in Brazil’s Atlantic Forest by August 2014.


Engineering Manager

We are looking for an Engineering Manager with a Machine Learning (ML) focus to join us in Berlin or remotely. Reporting directly to the CTO, you will support our ML engineers, who build solutions involving Large Language Models (LLMs) and Natural Language Processing. As their people manager, you will enable your engineers to grow professionally and empower the team to work efficiently. As part of a creative cross-functional team, you will work on products that directly improve the search experience of millions of users, for example, understanding user intents or providing instant answers to users’ queries. In addition, you will assist your team in establishing AI best practices and growing the company’s knowledge in ML and Data Engineering practices. Together with your product and engineering management peers, you will support our equitable, inclusive, curious, and fun Engineering culture. Become part of our journey to innovate with AI!<h2>What you'll be doing</h2><ul><li>Empower the team by removing roadblocks, enabling decisions, resolving tensions, and providing tools and support.</li><li>Facilitate AI innovation by addressing AI-specific challenges, coordinating research and delivery, and ensuring the timely execution of projects and experiments.</li><li>Collaborate &amp; advise: partner with cross-functional teams, guide strategic AI and data investments, and review environmental, ethical, and privacy risks.</li><li>Shape engineering strategy with the CTO and peers, and help attract, recruit, and onboard diverse, skilled professionals.</li><li>Promote growth &amp; learning: hold regular one-on-ones, mentor and coach for career development, and encourage knowledge sharing and continuous improvement.</li><li>Champion fairness &amp; inclusion: ensure equitable performance reviews and compensation, and co-create a collaborative culture aligned with our values.</li></ul><h2>What you bring</h2><ul><li>You enjoy developing and growing people and have a documented history of leading, managing, coaching, and mentoring engineers for at least 3 years.</li><li>You possess a robust background in Machine Learning (including technologies such as Natural Language Processing, Classification, Embeddings, and LLMs), showcasing the ability to effectively guide the team in ML initiatives through the whole life cycle (from creating datasets to monitoring in production)<ul><li>Solid understanding of LLMs and their deployment in real-life applications. In contrast to just having used LLMs for prototypes or ML training data.</li></ul></li><li>You have prior experience working as a software, data, or ML engineer, or data scientist, and know how to apply modern engineering practices to ensure continuous delivery and experimentation.</li><li>You have hired for engineering positions, supporting diversity and understanding the importance of creating an inclusive workplace.</li><li>You have a bias towards action and pragmatism, both in your own work and in your enablement of others.</li></ul><h2>Hiring process</h2><ul><li>Recruiter screen 30'</li><li>Management Interview 60'</li><li>Technical Interview 75'</li><li>Product Management and Culture Interview 75'</li></ul><h2>Why Ecosia?</h2>What if your job made a real difference in the climate crisis? Join Ecosia and help plant millions of trees where people and ecosystems need them most.<ul><li>We are a diverse team, committed to equality, equity, and inclusion, with members from various backgrounds: sexual orientations, genders, ages, races, ethnicities, nationalities, physical and mental disabilities, family structures, and religions.</li><li>We offer you the opportunity to balance work with other parts of your life: flexible working hours, 30 vacation days per year (based on a five-day workweek), designated Focus Times, and remote work options. (Note: Not applicable to freelance contracts; different labor laws may apply in other countries.)</li><li>Our green benefits program - including subsidized public transport cards and bike inspection services - supports your sustainable living choices in Berlin. (Availability may vary by location; not applicable to freelance contracts.)</li><li>We support your professional growth through learning times, hack days, online and physical libraries, and continuous feedback. (Not applicable to freelance contracts.)</li></ul><h2>Q&amp;A</h2><h2>How many people work at Ecosia?</h2>115 (July 2025): our departments include Engineering (incl. Platform and QA), Product (incl. Design), Trees, Operations (incl. Marketing, B2B &amp; BI), and People and Culture.<h3></h3><h2>Where is Ecosia based, and what kind of work setup do we have?</h2>We are a remote-friendly company with one office in Berlin-Wedding. People come to the office or work from home per their wishes and/or circumstances. Some roles require presence in the office at least from time to time. Company language: English. The Talent Partner will tell you more.

Engineering Manager

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About the Company

Ecosia

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