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Jobs/Engineering Manager Role/Engineering Manager, Data & Machine Learning

Engineering Manager, Data & Machine Learning

OverstoryRemote - United States | Europe | United Kingdom | Canada - Latin America *+ Equity1mo ago
RemoteStaffNAArtificial IntelligenceUtilitiesEngineering ManagerMachine Learning EngineerTeam LeadershipPortugueseDanishRussianCantonese

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Requirements

• 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. • What you get • What you get • 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. • Diversity & Inclusion • 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. • Our values • Our values • Tackling the climate crisis is our greatest mission. • We act with urgency. • Our curiosity fuels our growth. • We recognize that change is constant, and we find joy and power in exploration. • We’re rooted in diversity. • Just as ecosystems need biodiversity to thrive, our resiliency comes from our differences. • We care for each other. • We love the power of machines but we nurture each other as humans. • Trust is fundamental. • 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. 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.

Responsibilities

• Enable our Machine Learning and data teams to operate as highly productive, cross-functional teams delivering high-quality ML-driven capabilities • Support teams working with satellite imagery and geospatial datasets, balancing experimentation, iteration, and ongoing improvement of existing solutions • Grow the teams by attracting and hiring great Data and ML talent • Foster an inclusive, supportive, and caring culture where everyone can do their best work • Provide regular 1:1 coaching and feedback to help others thrive, grow, and reach their aspirations • Act as a strategic partner to Product Managers within your domains, ensuring technical decisions balance short- and long-term goals • Ensure the technical approaches within your domains support future product and modelling needs • Work closely with other Product, Design and Engineering leaders on strategy, technology, and people • Help evolve Data and ML practices and introduce ways of working that improve collaboration, delivery, and 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

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