Staff Product Manager, Machine Learning

8+ years of product management experience, with a track record that proves both craft and shipping speed.

Hands-on experience building and shipping products powered by machine learning models. You understand how models get built, trained, evaluated, and improved, and you can talk model performance and trade-offs directly with data scientists and ML engineers.

Experience turning a scaling- or technical-led roadmap into a customer-driven one, including running user research and translating it into product priorities.

Experience working in a fast-paced startup, comfortable with ambiguity and making calls before everything’s fully defined.

A track record building B2B products that customers rely on daily, including products where the value comes from turning data or model outputs into decisions customers can act on.

Strong written and verbal communication. You bring clarity to technical trade-offs and bring teams along as priorities shift.

Experience leading product strategy and roadmapping, and building consensus across product, engineering, and data science

Experience building geospatial products or working with GIS technologies.

Experience with complex data products, especially data pipelines and platforms, including ingesting and processing large, diverse datasets from multiple sources.

Experience building machine learning products for image-based applications, like computer vision or image recognition.

Note: We believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description.

Competitive, location-specific compensation and benefits

Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around

Home office stipend, coworking and ongoing education budgets

A company culture that genuinely embodies each of our core values

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

We are a fast-growing team of about 100 people from all over the world. Fifteen nationalities are represented and at last count we speak fourteen languages: English, Dutch, French, Spanish, German, Italian, Portuguese, Russian, Luxembourgish, Lithuanian, Bulgarian, Finnish, Estonian, and Afrikaans.

We work remotely from eleven countries and are looking for candidates that are living and working in one of them: United States, the Netherlands, United Kingdom, Ireland, Estonia, Portugal, France, Sweden, Switzerland, Denmark and Canada. We gather once a year in-person for our unforgettable team gathering event. We also offer the option to occasionally meet up for in-person collaboration.

The climate crisis is a human crisis that requires diverse perspectives to solve.

We place enormous value on diversity and believe that the best ideas emerge when people with different backgrounds and experience work together. We remain committed to scaling a team that reflects the communities we serve, and strive to uphold equitable and inclusive practices across every aspect of our business. We are responsible for creating and maintaining a culture where everyone - regardless of background - has a voice in building a sustainable future.

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.

Use of AI in Our Hiring Process

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. 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.