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Team Lead Manager, Geospatial Software Engineering

Engineering | New York, NY | Full Time

Job Description

Join the A.I. company tackling some of the most consequential problems facing the world today. Gro Intelligence is a fast-growing, mission-driven data and analytics company dedicated to understanding the interconnected global markets for all agricultural products. From the food we eat to the clothing we wear and the gasoline in millions of cars across the globe, agriculture touches our daily existence like few other industries.  And it’s being completely upended by climate change, trade wars, finite global resources, fickle public policies, a growing population and ever-changing human tastes (e.g. organic produce, plant-based proteins, etc).  Come help us understand the complex interplay of these various forces and their ripple effect on global markets. 

With offices in both New York and Nairobi, and the financial backing of prominent investors including TPG Growth and Data Collective, Gro is a diverse team of more than 70 technologists, scientists, and business professionals.  Our team is growing rapidly and we’re looking for highly motivated, intellectually curious individuals with a shared commitment to building software that impacts the world on the most basic level. 

Gro has been featured prominently alongside the company’s founder and CEO in several recent outlets including Recode Decode with Kara Swisher, Fast Company’s Most Creative People, Fortune’s Most Powerful Women in Business, and Vanity Fair’s Inside the Hive with Nick Bilton.  

 

What you’ll do:

  • Leading and managing a team of software engineers with a diverse set of expertise

  • Lead system design for the team based on product requirements

  • Interface and collaborate with Infrastructure, API teams

  • Hands on design and implementation

  • Contribute to system-wide engineering improvements

  • Cutting edge research on systems and algorithms

 

Qualifications:

  • 10+ years of experience as a team leader

  • Very proficient in Python, and Java/C/C++/Go

  • Experience with complex data pipelines

  • Experience with data APIs

  • Experience working on Geo product such as Google Earth Engine, MapBox, GeoMesa, OpenStreetMap, Omnisci 

  • Experience with geospatial libraries, formats and APIs (GDAL, geoJSON, s2)

  • Extensive experience working with geospatial raster data, especially global satellite imagery

  • Streaming big data  storage, query and analysis  systems (e.g. Hadoop, Spark) 

  • Very strong fundamentals in computer science

 

Who You Are:

  • The ideal candidate will have built and deployed software services at scale

  • Know what it takes to ship high quality code

  • A builder of productive and collaborative teams

  • Excellent communicator 

  • A great team player –you have a point of view, and know how to humbly raise it

 

Bonus Points:

  • Image processing

  • Experience with agricultural, climate and weather data