Overstory - Engineering Manager, Full Stack & Data
Requirements
• Experience working in a high growth scaleup 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 • Comfortable 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 • 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. • Note:
Responsibilities
• Enable our data engineers to become highly productive members of their cross-functional teams, empowering them to ship high-quality, reliable data platforms and pipelines on a daily basis. • 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 your team members and help them thrive and reach their aspirations. • 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. • Work 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
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 • 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 • 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 • 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. • _________________________________ • 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.
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