How Remoteville checks and expires listings
Solutions Engineer
Skills
Analytical SkillsAnalyticsArtificial IntelligenceAttention To DetailCustomer SuccessEngineeringEnglish
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 2–4 years of professional experience with large complex geospatial datasets in a customer or stakeholder facing role
- Proficiency with Python Jupyter git GitHub and command-line workflows
- Experience managing multiple projects simultaneously
- Strong attention to detail and data care
- Demonstrable experience or serious interest in using AI tools to amplify work
- Proven ability to solve ambiguous problems and collaborate with stakeholders
- Excellent communication for non-technical audiences and customer rapport building
Nice to have
- Utility operations background
- Infrastructure knowledge
- Vegetation management experience
- Remote sensing interest
- Satellite imagery experience
- Earth observation experience
- SQL knowledge
- Data engineering exposure
- Startup experience
- Mission-driven mindset
Day to day
- Work with large geospatial datasets to validate process and analyze satellite and utility data
- Deliver customer-ready analyses and recommendations that help utilities act on vegetation risk
- Translate technical findings into clear operational guidance and help shape repeatable product capabilities