Steve Greenberg
Engineering Manager, Google Earth Engine
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolSteve Greenberg is an engineering leader with 12 years of experience building developer-facing cloud and geospatial platforms from Seattle, currently managing the Google Earth Engine engineering organization. He has led developer relations and platform teams across Google Cloud—shaping client libraries, samples, and tutorials for Vertex AI, BigQuery, Dataflow and more—and previously guided cloud migrations and open data products at Socrata and Office 365 services at Microsoft. Steve blends hands-on backend development and QA (including contributions to Google Cloud Ruby samples for Speech and Natural Language APIs) with program-level strategic planning, making him effective at translating developer needs into robust SDKs and documentation. Known for moving legacy services to public cloud and creating usable developer experiences, he pairs technical depth with a pragmatic focus on adoption and developer success.
12 years of coding experience
16 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Amherst College
Stackoverflow
1reputation
0reached
1answer
0questions
Github Skills (16)
sample-rate10
testing10
sample-size10
google-cloud-platform10
speech-recognition10
nlp10
google-cloud10
natural-language-processing10
sample-data10
ruby10
keras6
google-cloud-ml6
tensorflow6
r6
rails5
Programming languages (8)
Github contributions (5)
GoogleCloudPlatform/ruby-docs-samples
Feb 2017 - Apr 2017
Ruby samples for Google Cloud Platform products.
Role in this project:
Back-end Developer & QA Engineer
Back-end Developer & QA EngineerContributions:6 commits, 3 PRs, 4 pushes in 1 month
Contributions summary:Steve primarily focused on enhancing and testing Ruby code samples related to Google Cloud Platform products, specifically for the Natural Language API and Speech API. They implemented and tested features like sentiment analysis, entity recognition, and speech recognition, contributing to the functionality of the provided Ruby code samples. The commits also addressed feedback to improve code quality and correctness through test updates. Moreover, they changed encoding from `:raw` to `:LINEAR16` to align with the Google Cloud Speech API.
google-cloud-platformrubyrailsgoogle-cloud
sgreenberg/mtg-card-evaluator
May 2025 - Dec 2025
Contributions:30 pushes, 1 branch in 7 months
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