Engineering Manager, Machine Learning

Role Description

The climate crisis is the defining challenge of our time—but it’s also the greatest opportunity for innovation, and a challenge we’re proud to take on. At Overstory, we’re harnessing cutting-edge technology to enable a resilient electrical grid that keeps communities thriving as our world changes.

As an ML Engineering Manager, you will lead across several cross-functional teams, managing up to ~10 machine learning engineers and data scientists. You will support teams working on data- and machine-learning-driven product capabilities.

• Accountable for the technical direction and delivery outcomes of your area.
• Challenge teams to pursue ambitious goals while providing high levels of support.
• Focus on building high-performing teams and driving results through others.
• Expected to dive deep technically when required and support strong technical decision-making.

Time zone requirement: Europe (GMT/WET, CET, EET) and Eastern North America (NST, AST, EST)

What You'll Do

• 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.

Qualifications

• 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 trends.

Nice To Have

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

What We Offer

• Competitive, location-specific compensation and benefits.
• Flexible, autonomous and collaborative working environment rooted in trust.
• 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.

About Our Team

We are a group of 100 people from all over the world. Fifteen nationalities are represented in our team and at last count we speak fourteen languages.

• We work remotely from eleven countries.
• 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.

Diversity & Inclusion

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.

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.
• We care for each other.
• Trust is fundamental.