Overstory
Engineering Manager (Data)
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Engineering Manager (Data & Full-Stack Focus)
About Overstory
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 harness cutting-edge technology to enable a resilient electrical grid that keeps communities thriving as the world changes.
The Problem We Solve
The global electrical grid powers hospitals, keeps food fresh, and connects communities. Yet, extreme weather, aging infrastructure, and rising wildfire risks are destabilising this critical system. Forests crossing power lines are a leading cause of catastrophic wildfires and power outages.
Our Solution
We leverage AI and advanced satellite imagery to predict and mitigate vegetation risks before they materialise. By identifying high-risk areas, we help utilities prevent outages, reduce wildfire risks, and accelerate the transition to a safer, more resilient grid.
Our team is a diverse coalition of outdoor enthusiasts, musicians, and problem-solvers united by a shared passion for advanced climate solutions—believing technology should drive good.
The Role & Team Context
This Engineering Manager position demands expertise in data architecture and full-stack engineering while aspiring to foster high-performing cross-functional teams. Reporting to the VP of Engineering, the role oversees ~10 full-stack software engineers, data engineers, and GIS specialists—bridging ongoing work in customer-facing product development, data pipelines, and ML-based infrastructure.
At Overstory, technical agility, leadership, and collaboration sit at the core of decision-making. While hands-on coding isn’t a primary responsibility, Em Misycois remain hands-on with budgets and experience across multiple, non-technical impacted business domains.
Responsibilities
- Develop the engineering teams: Drive data talent pipelines, empowerment, and high performance in high-productivity, cross-functional settings
- Shape culture: Foster an inclusive, coaching-focused environment where engineers thrive, nurturing collaboration and teamwork
- Balance short- and long-term goals: Partner with product managers and ML engineers to align data architecture and platform decisions on business strategy.
- Technical ownership: Ensure reliable data pipelines, engineering solutions, and mature yet adaptable data models that support both immediate user needs and ML-driven future expansion.
- Team coordination: Work closely with Product & Engineering leaders to refine data workflows, improve data-driven analytics, and open new deep-data opportunities.
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Your Eligibility
.Minimum Requirements
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Vast experience in a high-scalability, high-growth startup or tech company—ideally in climate-tech or data infrastructure.
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Proven product-impact mentality: A track record of building data platforms and systems that significantly improve scalability or decision-making.
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2+ years’ experience managing or mentoring full- or data stack teams across multiple projects.
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During daily work, you should showcase strong technical agility, particularly within:
- Front-End: Experience with React/TypeScript.
- Back-End & Data: Expertise in Python/FastAPI, PostgreSQL, end-to-end data pipelines.
- Systems & Orchestration: Familiarity with Airflow/Dagster-like orchestration, data warehouses/lakehouse technology.
- Full Cycle Pipelines: Hands-on experience with SQL, building/patching data pipelines, setting reproducibility standards, observing, and debugging models and productions stages.
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Cloud & Submission Environment Depth: Personal productivity using cloud-based (GCP) data processes and pipelines, understanding observability (Grafana/equivalent), and with engineering mentoring on resilience and scalability in distributed global teams structures.
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Leadership Prowess: Dependable grocery/communicating coachable skills – able to eye this result with teams from colleagues to leadership.
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Stakeholder Alignment: Demonstrated ability to translate technical architecture decisions for non-technical citizens, while investing in transparency.
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Nice to Haves
- Professional experience in geospatial workflows or environments utilizing GIS technologies.
Our Commitment
We believe everyone should apply, regardless of precise criteria. Be excited yet clear—our goal is to find cultural and mission fit above non-absolute checks.
What We’re Offering
- Competitive compensation and departmental bonuses — we believe your market-driven norm aligns on productivity/impact.
- Autonomous and in-person work autonomy: Flexible, work-life-paneled arrangements, home-office and co-working stipends, continuous learning investment—your career shouldn’t prioritize us, this should feed yours.
- Culture: Build Based as Our Values.
- Grit & Urgency: Our mission is a sun-consuming heading; that means we execute but also evolve.
- Power of Inquiry: There’s always space growing: we seek machine-like challenge bias equals teams seeking folly raised from fear.
- Inclusion is Our Agenda: Each grows, teams are more successful when diverse—we support equitable practices, lands diverse leaders, and the end community we serve.
Our team comprises 100+ people from 15+ nationalities speaking four high-range multilinguals: English, Dutch, German and Spanish, to blend grassroots local communities in United States, Europe/Europe/Canada.
To conclude, we meet physically only once a year, but all else avoids burnout - getting aligned.
We care for each other while lifting humans before choices before screens.
Reimagining Electricity—For Earth, And Earlier. Welcome?
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