Engineering Manager, Machine Learning

🕒 May 8

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Overstory

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

⚡ Energy

☁️ SaaS

Artificial Intelligence • Energy • SaaS

Overstory is a company that provides software solutions for utilities to optimize resources, mitigate vegetation risk, and manage infrastructure more intelligently, particularly to prevent power outages and wildfires. The company offers actionable vegetation intelligence by leveraging advanced technology such as artificial intelligence and remote sensing, combining satellite and aerial imagery with local data such as asset locations and wildfire maps. Overstory aims to improve safety and reliability of power delivery by enabling data-driven decision-making and future-proofing utilities' operations programs.

📋 Description

• Enable our Machine Learning and data teams to operate as highly productive, cross-functional teams delivering high-quality ML-driven capabilities • Support teams working with satellite imagery and geospatial datasets, balancing experimentation, iteration, and ongoing improvement of existing solutions • Grow the teams by attracting and hiring great Data and ML talent • Foster an inclusive, supportive, and caring culture where everyone can do their best work • Provide regular 1:1 coaching and feedback to help others thrive, grow, and reach their aspirations • Act as a strategic partner to Product Managers within your domains, ensuring technical decisions balance short- and long-term goals • Ensure the technical approaches within your domains support future product and modelling needs • Work closely with other Product, Design and Engineering leaders on strategy, technology, and people • Help evolve Data and ML practices and introduce ways of working that improve collaboration, delivery, and learning

🎯 Requirements

• 8+ years of professional experience building ML- or data-driven systems, at least 3 years’ experience leading and managing ML or data-focused teams • Passionate about climate and the role technology can play in addressing environmental challenges • Experience working in a high-growth scale-up or startup environment • Product-minded, with the ability to demonstrate meaningful 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 and collaborating closely with data scientists • Strong leadership skills, with a coaching mindset and the ability to support engineers and data scientists at all levels • Excellent communication skills and the ability to collaborate effectively in cross-functional environments • Passion for learning and staying current with evolving technologies and industry trend

🏖️ Benefits

• Competitive, location-specific compensation and benefits • Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around • Home office stipend, coworking and ongoing education budgets • A company culture that genuinely embodies each of our core values • To be part of truly mission-driven work that reduces wildfires, protects earth’s natural resources and helps solve our climate crisis