Engineering Manager, Data & Machine Learning

8+ years of professional experience building ML- or data-driven systems, at least 3 years’ experience leading and managing ML or data-focused teams

Passionate about climate and the role technology can play in addressing environmental challenges

Experience working in a high-growth scale-up or startup environment

Product-minded, with the ability to demonstrate meaningful business impact through technology

Sufficient technical depth in machine learning, data systems, or applied ML to guide teams and challenge decisions

Experience working with python-based ML or data workflows and collaborating closely with data scientists

Strong leadership skills, with a coaching mindset and the ability to support engineers and data scientists at all levels

Excellent communication skills and the ability to collaborate effectively in cross-functional environments

Passion for learning and staying current with evolving technologies and industry trend

Engineering mindset or background, with experience applying software engineering best practices to data and ML systems (e.g., reproducibility, testing, monitoring, and production deployments).

If you don’t meet all of the above yet feel you have lots to offer, please apply anyway.

To be part of truly mission-driven work that reduces wildfires, protects earth’s natural resources and helps solve our climate crisis.

Flexible working environment with a lot of autonomy. We build our work days around our lives, not the other way around.

Other benefits like a remote working budget, an educational budget and time to develop new skills.

To be surrounded by an excellent, vibrant, smart team who have each other's back and believe in a culture of openness, tolerance and respect.

Equity and a competitive salary.

We are a group of 100 people from all over the world. Fifteen nationalities are represented in our team. We work remotely from eleven different countries and we are looking for candidates that are also living and working in one of these countries: United States, the Netherlands, United Kingdom, Ireland, Estonia, Portugal, France, Sweden, Denmark, Switzerland, and Canada. We meet up once a year in-person for our unforgettable team gathering event. We also offer the option to occasionally meet up for in-person collaboration.

We place enormous value on diversity and inclusion and strive to continually bring in people of all genders, races, creeds, ethnicities, abilities and backgrounds. We believe that the best ideas emerge when people with different perspectives and approaches work together on a problem.

We’re always looking to diversify our team further, but we’re proud of the fact that four out of the nine people on our leadership team are female, 46% of the overall team are female and 20% of the team are people of color. Our team speaks fifteen languages: English, Dutch, French, Spanish, German, Italian, Portuguese, Russian, Luxembourgish, Lithuanian, Bulgarian, Cantonese, Estonian, Danish and Korean.

We act with urgency.

We recognize that change is constant, and we find joy and power in exploration.

Just as ecosystems need biodiversity to thrive, our resiliency comes from our differences.

We love the power of machines but we nurture each other as humans.

We assume the best in everyone, and we share ideas openly so that we have a positive impact.

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We sometimes use AI tools to support parts of our hiring process, such as helping us manage applications more efficiently or ensuring job descriptions are clear and inclusive. But don’t worry, all hiring decisions are always made by people, not machines. Any data processed by AI is handled securely in line with GDPR and our Privacy Notice .