Engineering Manager, Machine Learning

Role and Team Overview

We are searching for an Engineering Manager in Machine Learning to lead and inspire multiple interdepartmental teams comprising approximately 10 machine learning engineers and data scientists. Your leadership will support teams developing machine learning and data-driven product functionalities. These teams typically include product managers, designers, engineers, and domain experts.

You will hold responsibility for the technical direction and successful delivery within your scope, encouraging your teams to set and pursue ambitious objectives while offering robust support to nurture engineering talent. Your leadership style will foster a collaborative, team-oriented environment where individuals excel.

Though hands-on coding is not a primary expectation, in-depth technical involvement will be required to facilitate sound technical decisions.

The expected working time zones include Europe (GMT/WET, CET, EET) and Eastern North America (NST, AST, EST).

Key Responsibilities

• Empower machine learning and data teams to function as efficient, cross-functional units producing superior ML-driven features.
• Guide teams dealing with satellite imagery and geospatial datasets, maintaining a balance between experimentation, iteration, and enhancing current solutions.
• Contribute to team expansion by recruiting talented Data and ML professionals.
• Promote an inclusive and supportive workplace culture to enable peak performance.
• Deliver consistent one-to-one coaching and feedback aimed at personal and professional development.
• Partner strategically with Product Managers to ensure technical choices align with both immediate and future goals.
• Ensure technical strategies in your area accommodate upcoming product and modeling requirements.
• Collaborate closely with Product, Design, and Engineering leaders regarding strategy, technology, and personnel management.
• Advance Data and ML methodologies by adopting innovative working practices that enhance collaboration, delivery, and learning.

Required Skills and Experience

• A minimum of 8 years in building machine learning or data-centric systems.
• At least 3 years managing ML or data-focused teams.
• A strong passion for climate issues and the potential of technology in solving environmental problems.
• Experience in fast-growing startup or scale-up environments.
• A product-oriented mindset with proven impact through technological contributions.
• Solid technical expertise in machine learning, data systems, or applied ML capable of guiding and challenging teams' decisions.
• Proficiency with Python-based ML or data workflows and close collaboration with data scientists.
• Excellent leadership skills emphasizing coaching and supporting diverse skill levels.
• Strong communication abilities and effectiveness in cross-functional collaboration.
• A demonstrated eagerness for continual learning and remaining up to date with technology and industry advancements.

Preferred Qualifications

• An engineering background or mindset, acquainted with software engineering best practices applicable to data and ML systems, including ensuring reproducibility, testing, monitoring, and deploying to production.

Additional Information

We recognize that potential is not limited by meeting every qualification listed. Applicants are encouraged to apply even if they do not fulfill all listed criteria.

Benefits and Work Culture

• Competitive compensation and benefits tailored to your location.
• A flexible, autonomous, and collaborative work environment built on trust, prioritizing your life around workdays.
• Support including home office stipends, coworking opportunities, and continuous education budgets.
• A company culture deeply rooted in core values emphasizing mission-driven work.
• Opportunity to contribute to impactful work focused on reducing wildfires, preserving natural resources, and addressing the climate crisis.