Engineering Manager, Machine Learning

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

How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether?

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