This position is posted by Jobgether on behalf of a partner company. We are currently looking for an Engineering Manager, Machine Learning in Canada .
This role offers the opportunity to lead high-impact machine learning teams working at the intersection of AI, geospatial intelligence, and climate resilience. You will manage and grow a group of ML engineers and data scientists building systems that transform satellite imagery and environmental data into actionable insights for critical infrastructure. The position combines technical leadership with people management, focusing on team performance, talent development, and delivery excellence. You will partner closely with product, design, and engineering leaders to shape strategy and ensure ML solutions are aligned with real-world impact. Operating in a fast-paced, mission-driven environment, you will help scale both teams and technology while maintaining a strong culture of collaboration and learning. This is a high-visibility leadership role where your work directly contributes to improving grid resilience and reducing climate-related risks.
Accountabilities:
- Lead and scale multiple machine learning and data science teams delivering AI-driven and geospatial products.
- Define and drive technical direction while ensuring alignment with product strategy and long-term modeling needs.
- Oversee delivery of ML systems built on satellite imagery and large-scale geospatial datasets, balancing experimentation and production readiness.
- Build, coach, and develop high-performing teams through regular feedback, mentoring, and career development support.
- Partner closely with Product Managers to ensure technical decisions support both immediate delivery and future scalability.
- Collaborate with engineering, design, and leadership teams to evolve ML practices, workflows, and delivery standards.
- Drive hiring and talent strategy to attract and retain top machine learning and data engineering talent.
- Ensure teams operate efficiently, collaboratively, and with strong ownership of outcomes and execution quality.
Requirements:
- 8+ years of experience building machine learning or data-driven systems.
- At least 3+ years of experience managing ML engineers or data science teams.
- Strong technical background in machine learning, data systems, or applied AI, with ability to guide technical decisions.
- Experience working with Python-based ML workflows and collaborating closely with data scientists and engineers.
- Proven leadership experience in high-growth startup or scale-up environments.
- Strong coaching and people management skills with experience developing engineering talent.
- Ability to operate in cross-functional environments with Product, Design, and Engineering stakeholders.
- Strong communication skills with the ability to align teams and influence technical direction.
- Product mindset with ability to connect technical work to measurable business and product impact.
- Passion for learning and staying current with advancements in ML and AI technologies.
- Interest in climate-related challenges and technology-driven environmental impact is highly valued.
Benefits:
- Competitive location-based salary and benefits package
- Flexible, remote-first work environment with high autonomy
- Home office stipend and coworking support
- Learning and development budget to support professional growth
- Collaborative and inclusive team culture grounded in trust and transparency
- Opportunity to contribute to mission-driven work focused on climate resilience and wildfire prevention
- Regular in-person team gatherings and optional collaboration meetups
- Strong focus on work-life balance and flexible scheduling