Engineering Manager, Machine Learning

This is a fully remote position, open to applicants in United States.

📋 Description

• Empower our Machine Learning and data teams to function as highly efficient, cross-functional units that deliver top-tier ML-driven capabilities.

• Assist teams utilizing satellite imagery and geospatial datasets, while balancing experimentation, iteration, and the ongoing enhancement of current solutions.

• Expand the teams by attracting and recruiting exceptional Data and ML talent.

• Cultivate an inclusive, supportive, and nurturing culture that enables everyone to perform at their best.

• Offer regular one-on-one coaching and feedback to assist others in thriving, developing, and achieving their goals.

• Serve as a strategic partner to Product Managers within your areas, ensuring that technical decisions align with both short- and long-term objectives.

• Guarantee that the technical strategies within your areas address future product and modeling requirements.

• Collaborate closely with other Product, Design, and Engineering leaders on strategy, technology, and personnel matters.

• Assist in the evolution of Data and ML practices and introduce methodologies that enhance collaboration, delivery, and learning.

⛳️ Requirements

• Over 8 years of professional experience in developing ML- or data-driven systems, with a minimum of 3 years’ experience in leading and managing ML or data-centric teams.

• A strong passion for climate issues and the potential of technology to tackle environmental challenges.

• Proven experience in a high-growth scale-up or startup environment.

• Product-oriented mindset, capable of showcasing significant business impact through technology.

• Adequate technical expertise in machine learning, data systems, or applied ML to guide teams and critically assess decisions.

• Experience with python-based ML or data workflows and close collaboration with data scientists.

• Strong leadership capabilities, with a coaching attitude and the ability to support engineers and data scientists at all levels.

• Exceptional communication skills and the ability to work effectively in cross-functional teams.

• Enthusiasm for learning and staying updated with evolving technologies and industry trends.

🏝️ Benefits

• Competitive, location-specific compensation and benefits.

• Flexible, autonomous, and collaborative work environment built on trust—our workdays are structured around our lives, not the reverse.

• Home office allowance, coworking space, and continuous education budgets.

• A company culture that genuinely reflects each of our core values.

• The opportunity to engage in truly mission-driven work that mitigates wildfires, conserves the earth’s natural resources, and addresses our climate crisis.