Overstory is a company dedicated to addressing the climate crisis through innovative technology. They are seeking a Data & ML Engineering Manager to lead cross-functional teams of machine learning engineers and data scientists, focusing on delivering high-quality ML-driven capabilities and fostering a collaborative culture.
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
Requirements:
- 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
- Engineering mindset or background, with experience applying software engineering best practices to data and ML systems (e.g., reproducibility, testing, monitoring, and production deployments)