Solutions Engineer

🕒 Maio 15

🏄 California – Remoto

🏄 California – Remote

⏰ Tempo Integral

🟢 Júnior

🟡 Pleno

💻 Engenheiro de Soluções

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Overstory

SiteLinkedInTodas as Vagas

11 - 50 funcionários

🤖 Inteligência Artificial

⚡ Energia

☁️ SaaS

Artificial Intelligence • Energy • SaaS

A Overstory é uma empresa que fornece inteligência acionável sobre vegetação para concessionárias de energia, visando um gerenciamento de energia mais seguro e confiável. Seu software ajuda as concessionárias a otimizar recursos, mitigar riscos relacionados à vegetação e preparar seus programas operacionais para o futuro, possibilitando uma gestão de infraestrutura mais inteligente e baseada em dados. A Overstory utiliza tecnologia avançada e análises para auxiliar na gestão da vegetação, um fator importante nas interrupções de energia e incêndios florestais. Eles colaboram com concessionárias para desenvolver soluções que se integram perfeitamente aos fluxos de trabalho já existentes.

Descrição

• On a typical day, you might be: running satellite imagery through a pipeline and validating the output; debugging a geospatial join in Python; reviewing a draft analysis with a Customer Success Manager before it goes to a customer; talking with a utility vegetation manager to walk through findings and adjust based on what you hear; refactoring a notebook into a reusable script for the team; or sketching out how a recurring customer ask could become a product feature. • Ensure our customers get the most possible value out of Overstory through technical and analytical work • Own customer projects end-to-end, from data requests and processing through analysis to customer-ready outputs, in close partnership with Customer Success. • Work with large geospatial datasets (vector and raster) from Overstory's platform, customers, and third-party sources — process, validate, analyze, and turn them into outputs customers can act on. • Build rapport with customer counterparts. Translate technical findings into recommendations that change decisions and lead to better outcomes for our customers. • Build the technical foundations for what we productize next • Identify patterns across customer work that are worth standardizing and productizing. Convert one-off projects into repeatable artifacts. • Strengthen engineering quality so analytical work is easier to validate, hand off, and scale. • Partner with product and engineering to build the productization roadmap. • Strengthen the analytics workflows and infrastructure that support both customer impact and future productization.

🎯 Requisitos

• 2–4 years of professional experience working with large, complex geospatial datasets in a customer- or stakeholder-facing capacity. • Proficiency with a Python-driven analytical and engineering stack — Python, Jupyter, git/GitHub, and command-line workflows. • Experience successfully managing multiple projects simultaneously. • Demonstrated attention to detail and care with data. • Demonstrable experience (or at a minimum a serious interest in) leveraging AI tooling to amplify your work. • Proven ability to solve ambiguous problems and collaborate effectively with stakeholders. • Excellent communication, including translating technical findings for non-technical audiences and building rapport with customer counterparts. • Passionate about tackling climate challenges with data-driven solutions.

🏖️ Benefícios

• 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.