Key skills
Machine learningData-driven systemsPythonData workflowsSatellite imageryGeospatial datasetsSoftware engineering best practices for ML systemsML system reproducibilityML system testingML system monitoringML system production deploymentsCoaching mindsetMachine LearningMLLeadershipCommunicationCollaboration
About this role
Overstory is tackling the climate crisis by leveraging cutting-edge technology to enhance the electrical grid's resilience. As an ML Engineering Manager, you will lead cross-functional teams, managing machine learning engineers and data scientists to deliver high-quality ML-driven capabilities while fostering a collaborative environment.
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)