Role & Team
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.
Our product teams are cross functional and will typically include product managers, designers, engineers and subject matter experts relating to the team’s domain.
You will be accountable for the technical direction and delivery outcomes of your area. You will challenge your teams to pursue ambitious goals while providing a high level of support — growing engineering talent and fostering a highly collaborative, team-based environment where people can do great work.
Your primary focus will be on building high-performing teams and driving results through others. You will not be expected to spend significant time doing hands-on coding; however, you will be expected to dive deep technically when required and leverage your experience to 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
Skills & Experience
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
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)
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.
What We Offer
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
