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Engineering Manager, Machine Learning

3 hours, 22 minutes ago
United States, Canada, United Kingdom, Denmark, Estonia, France, Ireland, Netherlands, Portugal, Sweden, Switzerland
Full-time
Lead
Engineering Manager
Software Development
Machine Learning Python
Apply Now
Overstory

Overstory

Overstory uses AI and satellite imagery to prevent wildfires and power outages by analyzing vegetation for electric utilities.

Utilities
11-50
Founded 2018
$25M raised
View All Jobs 11

Description

  • Lead and support up to approximately 10 machine learning engineers and data scientists across multiple cross-functional teams.
  • Enable ML and data teams to deliver high-quality, ML-driven product capabilities efficiently and collaboratively.
  • Guide teams working with satellite imagery and geospatial datasets through experimentation, iteration, and continuous improvement.
  • Recruit, hire, and grow Data and ML talent to strengthen the teams.
  • Provide regular 1:1 coaching, feedback, and support to help team members grow and perform.
  • Partner with Product Managers to ensure technical decisions balance short-term delivery with long-term goals.
  • Ensure technical approaches support future product and modeling needs.
  • Collaborate with Product, Design, and Engineering leaders on strategy, technology, and people decisions.
  • Improve Data and ML practices by introducing better ways of working that strengthen collaboration, delivery, and learning.
  • Foster an inclusive, supportive, and high-performing team culture.

Requirements

  • 8+ years of professional experience building ML- or data-driven systems.
  • At least 3 years of experience leading and managing ML or data-focused teams.
  • Experience working in a high-growth scale-up or startup environment.
  • Product-minded approach with the ability to demonstrate 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.
  • Experience collaborating closely with data scientists.
  • Strong leadership and coaching skills with the ability to support engineers and data scientists at all levels.
  • Excellent communication skills and experience collaborating in cross-functional environments.
  • Passion for climate and environmental challenges.
  • Nice to have: engineering background or mindset with experience applying software engineering best practices to data and ML systems, including reproducibility, testing, monitoring, and production deployments.
  • Must be located in and able to work from one of the supported time zones and countries, including Europe (GMT/WET, CET, EET) or Eastern North America (NST, AST, EST), and one of the listed countries such as the United States, the Netherlands, the United Kingdom, Ireland, Estonia, Portugal, France, Sweden, Denmark, Switzerland, or Canada.

Benefits

  • Competitive salary and equity.
  • Flexible working environment with a high degree of autonomy.
  • Remote working budget.
  • Educational budget and time to develop new skills.
  • Mission-driven work focused on reducing wildfires and protecting natural resources.
  • Supportive, collaborative team culture with openness, tolerance, and respect.
  • Occasional in-person collaboration and an annual team gathering event.

Interested in this position?

Apply directly on the company website

Apply Now

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