[Hiring] Data Engineering Manager @Overstory

Role Description

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.

As a Data Engineering Manager, you will lead across several cross-functional teams, managing up to ~10 data engineers and GIS specialists. You will support teams working on data processing and pipelines to enable ML-powered product capabilities.

• Accountable for the technical direction and delivery outcomes of your area.
• Challenge teams to pursue ambitious goals while providing a high level of support.
• Focus on building high-performing teams and driving results through others.
• Expected to dive deep technically when required and leverage experience for strong technical decision-making.

What you will do

• Enable data engineers to become highly productive members of their cross-functional teams.
• Grow the teams by attracting great talent from your network.
• 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.
• Be a strategic partner to product managers, machine learning engineers, and other stakeholders.
• Ensure suitability of the data architecture, pipelines, and data models within your domains.
• Work closely with other Product & Engineering leaders on strategy, technology, and people.

Qualifications

• Passionate about climate.
• Experience working in a high growth scaleup environment.
• Product minded with significant impact on a business through data platforms.
• At least 2 years experience leading and managing data engineers across multiple teams.
• Experience with technologies: Python, SQL, data pipeline orchestration tools (e.g., Airflow, Dagster), data warehouses/lakehouses, Postgres DB.
• Ability to unblock your team by contributing at a senior engineering level.
• Comfortable working in a build it, run it environment (GCP, cloud run, grafana, k8s).
• Strong leadership skills with the ability to mentor and coach engineers.
• Excellent communication skills and ability to collaborate effectively.
• Passion for learning and staying updated with evolving technologies.

Nice to haves

• Experience working with maps/imagery/geospatial domains is beneficial but not essential.
• If you don’t meet all of the above yet feel you have lots to offer, please apply anyway.

Benefits

• To be part of truly mission-driven work that reduces wildfires and helps solve our climate crisis.
• Flexible working environment with a lot of autonomy.
• Remote working budget, an educational budget, and time to develop new skills.
• To be surrounded by an excellent, vibrant, smart team who believe in a culture of openness, tolerance, and respect.
• Equity and a competitive salary.

About our team

We are a group of 100 people from all over the world. Fifteen nationalities are represented in our team. We work remotely from eleven different countries and we are looking for candidates that are also living and working in one of these countries: United States, the Netherlands, United Kingdom, Ireland, Estonia, Portugal, France, Sweden, Denmark, Switzerland, and Canada.

Diversity & Inclusion

We place enormous value on diversity and inclusion and strive to continually bring in people of all genders, races, creeds, ethnicities, abilities, and backgrounds.

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.
• We care for each other.
• Trust is fundamental.

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. But don’t worry, all hiring decisions are always made by people, not machines.