About AiDASH
AiDASH is an enterprise AI company and the leading provider of vegetation risk intelligence for electric utilities. Powered by proprietary VegetationAI technology, AiDASH delivers a unified remote grid inspection and itoring platform that uses a elliteFirst approach to identify and address vegetation and other threats to the grid. With a prevention-first strategy to mitigate wildfire risk and minimize storm impacts, AiDASH helps more than 140 utilities reduce costs, improve reliability, and lower liability across their networks. AiDASH exists to safeguard critical utility infrastructure and secure the future of humanAIty . Learn more at We are a Series C growth company backed by leading investors, including Shell Ventures, National Grid Partners, G2 Venture Partners, Duke Energy, Edison International, Lightrock, ubeni, a g others. We have been recognized by Forbes two years in a row as one of America s Best Startup Employers. We are also proud to be one of the few software companies in Time Magazine s America s Top GreenTech Companies . Deloitte Technology Fast 500 recently ranked us at No. 12 a g San Francisco Bay Area companies, and No. 59 overall in their selection of the top 500 for .
Join us in Securing Tomorrow!
The Role Do you love ecology and the power of spatial dataDo you dream of using cutting-edge technology to solve real-world environmental challenges
If so, then this
Associate Ecologist
position is for you! We re looking for passionate and skilled individuals to join our dynamic team and be part of an AI-powered sustainability platform
that uses remote sensing, spatial data, and agentic AI
to transform ecological itoring and biodiversity management. How youll make an impact: - Youll play a pivotal role in
mapping detailed habitats
, conducting LULC classification
, itoring biodiversity trends
, and informing conservation efforts
across diverse landscapes while also working on our next-generation tech-driven ecology workflows
.
- You ll have opportunities to design and test logic flows in a
UI-based environment
that supports RAG-based and agentic-AI powered tools
helping make ecological analysis faster, s ter, and more scalable.
What were looking for:
- Master s or equivalent degree in
Ecology, Forestry, Environmental Science, Botany, Zoology
, or a related field, with a strong emphasis on habitat enhancement, biodiversity, or remote sensing
.
-
Tech-oriented mindset
curiosity and comfort working with AI-assisted tools
, rule-based flows
, or logic-building interfaces
to support automation in ecological workflows.
- Prior experience in applying
geospatial analysis
to ecological mapping or conservation projects is highly desirable.
- Understanding of
habitat mapping
, LULC classification
, and analysis using remote sensing data, ideally focused on UK/EU ecosystems.
- Hands-on with
GIS software (QGIS, ArcGIS, or similar)
and comfortable working with large geospatial datasets.
- Collaborative and team-oriented with the ability to work independently and in a team.
- Excellent communication skills to convey complex information effectively.
- 0 to 2 years of total work experience.
We are proud to be an equal-opportunity employer. We are committed to embracing diversity and inclusion in our hiring practices, and we promote a work environment where everyone, from any race, color , religion, sex, sexual orientation, gender identity, or national origin, can do their best work.
We are committed to providing an inclusive and accessible interview experience for all candi . Please let us know if you require any accommodation during the interview process, and we will make every effort to meet your needs.
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