Engineering Manager (Data)

The climate crisis is the defining challenge of our time—but it’s also the greatest opportunity for innovation, and a challenge we’re proud to take on. At Overstory, we’re harnessing cutting-edge technology to enable a resilient electrical grid that keeps communities thriving as our world changes.

The grid is the backbone of life as we know it. It powers hospitals, keeps food fresh, and ensures communities stay connected. But extreme weather, aging infrastructure, and growing wildfire risks are putting this critical system under pressure. All of this combined makes the electric utility industry the greatest opportunity for tackling climate change. 

One of the leading causes of catastrophic wildfires and power outages? Trees and brush coming into contact with power lines. 

That’s where we help. At Overstory, we use AI and advanced satellite imagery to pinpoint and prioritize vegetation risks before they materialize. By giving utilities critical analysis on those risks, we’re helping prevent outages, reduce wildfire risks, and accelerate the transition to a safer, more resilient grid.

Our team spans the Americas and Europe, and we work with utility partners across the Americas and beyond. We’re outdoor enthusiasts, musicians, artists, athletes, parents, and adventurers. What unites us is a passion for solving complex problems, a commitment to climate action, and the belief that technology should be a force for good.

Join us to help us build a more resilient world together. 

Role & Team

This Engineering Manager (EM) role is data-forward with full stack experience also required. Reporting to the VP of Engineering, the EM will lead across several cross-functional teams, managing up to ~10 full stack software engineers, data engineers, and GIS specialists. They will also support teams building our customer-facing product and teams working on our data processing and pipelines to enable our ML-powered product.

This is an addition to Overstory’s engineering leadership team of three people managers, with a primary focus of building and retaining high-performing teams. While this EM is not expected to spend significant time doing hands-on coding, on occasion they will need to do so in order to support best technical decision making, develop current team's talent and facilitate technical knowledge exchange among internal stakeholders. Related: candidates will be asked to execute a pair programming interview in Python for this role. 

Our technical/product teams are cross functional and will typically include product managers, designers, engineers and subject matter experts relating to the team’s domain. This individual will be accountable for the technical direction and delivery outcomes of their area. Of the utmost importance, they will find ways to challenge teams to pursue ambitious goals while providing a high level of support — growing engineering talent and fostering a highly collaborative, team-based environment where people can do great work.

Time zone requirement: Europe (GMT/WET, CET) and Eastern North America (NST, AST, EST)

What You'll Do
- Empower data engineers to become highly productive members of their cross-functional teams, empowering them to ship high-quality, reliable data platforms and pipelines 
- Grow the teams by attracting and retaining mission aligned talent
- Foster an inclusive and caring culture where everyone can do their best work.
- Provide regular 1:1 coaching and feedback to tap into the potential of all team members and help them thrive
- Be a strategic partner to product managers, machine learning engineers, and other stakeholders within your domains and ensure that we are making the correct data architecture and platform decisions that balance short and long term goals.
- Ensure suitability of the data architecture, pipelines, and data models within your domains to enable longer term product, analytics, and machine learning goals.
- Partner closely with the other Product & Engineering leaders on strategy, technology and people, including improving our data engineering practices and introducing capabilities that can accelerate data access, reliability, and unlock new product and data-driven opportunities
Skills & Experience
- Experience working in a high growth scale up environment
- Passionate about climate
- Product minded and able to demonstrate significant impact you have had on a business through the application of data platforms and data-driven systems
- 2+ years experience leading and managing full-stack or data engineers across multiple teams
- Experience working with the following (or similar) technologies: React/Typescript, Python/FastAPI, PostgresDB, data pipelines, SQL, data pipeline orchestration tools (e.g., Airflow, Dagster), data warehouses/lakehouses
- Ability to unblock your team by contributing at a senior engineering level (e.g., reviewing data models, debugging pipelines, guiding architecture). How hands-on you'll be in this role will depend on team size and maturity
- Experience working in a build it, run it environment (GCP, cloud run, grafana, k8s) - or similar, with an understanding of data reliability, observability, and pipeline operations
- Strong leadership skills with the ability to mentor and coach engineers at all levels
- Excellent communication skills and ability to collaborate effectively in a cross-functional team environment
- Passion for learning and staying updated with evolving technologies and industry trends, particularly at the intersection of agentic coding and engineering and data infrastructur
Nice To Have
- Experience working with maps/imagery/geospatial domains  

Note: We believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description.

What We Offer
- 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
About Our Team

We are a group of 100 people from all over the world. Fifteen nationalities are represented in our team and at last count we speak fourteen languages: English, Dutch, French, Spanish, German, Italian, Portuguese, Russian, Luxembourgish, Lithuanian, Bulgarian, Cantonese, Estonian, and Danish.

We work remotely from eleven countries and are looking for candidates that are living and working in one of them: United States, the Netherlands, United Kingdom, Ireland, Estonia, Portugal, France, Sweden, Switzerland, Denmark and Canada. We gather once a year in-person for our unforgettable team gathering event. We also offer the option to occasionally meet up for in-person collaboration. 

Diversity & Inclusion

The climate crisis is a human crisis that requires diverse perspectives to solve. 

We place enormous value on diversity and believe that the best ideas emerge when people with different backgrounds and experience work together. We remain committed to scaling a team that reflects the communities we serve, and strive to uphold equitable and inclusive practices across every aspect of our business. We are responsible for creating and maintaining a culture where everyone - regardless of background - has a voice in building a sustainable future.

Our Values Tackling the climate crisis is our greatest mission.

We act with urgency.

Our curiosity fuels our growth.

We recognize that change is constant, and we find joy and power in exploration.

We’re rooted in diversity.

Just as ecosystems need biodiversity to thrive, our resiliency comes from our differences.

We care for each other.

We love the power of machines but we nurture each other as humans.

Trust is fundamental.

We assume the best in everyone, and we share ideas openly so that we have a positive impact.

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Use of AI in Our Hiring Process

We sometimes use AI tools to support parts of our hiring process, such as helping us manage applications more efficiently or ensuring job descriptions are clear and inclusive. All hiring decisions are always made by people, not machines. Any data processed by AI is handled securely in line with GDPR and our Privacy Notice.