Mike M is a pragmatic technology and go-to-market leader with 11 years of experience building and scaling presales and field engineering organizations across enterprise observability and cloud-native tooling. Currently Head of Field Engineering in Portland, he has a track record of founding and rapidly growing SE teams—driving >600% ARR growth at Cortex and helping groundcover grow >300% in its first year—while closing strategic Fortune 10 deals. Hands-on with APIs, microservices, DevOps and observability, he also contributes as a back-end developer to prominent open-source projects like Datadog’s integrations-core (notably improving HDFS and vSphere checks and SSL validation). He mixes player‑coach leadership—recruiting, enabling and promoting regional leaders—with product-facing technical strategy to align roadmaps, demos, and POVs to value-based GTM motion. Comfortable operating globally (built Datadog’s first APAC SE organization and drove major regional revenue gains), he pairs an Executive MBA and ongoing AI/ML studies with deep electrical-engineering roots to bridge technical depth and commercial impact.
10 years of coding experience
13 years of employment as a software developer
Executive MBA Entrepreneurship/Entrepreneurial Studies, Executive MBA Entrepreneurship/Entrepreneurial Studies at Quantic School of Business and Technology
The University of Arizona
AI and Machine Learning, AI and Machine Learning at DeepAtlas
Contributions:14 commits, 7 PRs, 22 pushes in 11 months
Contributions summary:Mike primarily focused on improving the Datadog integrations for HDFS. They implemented and refined functionality for the HDFS namenode and datanode checks, adding an `validate_ssl` flag for secure connections. Furthermore, they fixed a missing comma, ensuring the codebase's proper functionality. Additionally, the user made a change to improve case sensitivity handling in the vsphere integration.
Contributions:10 commits, 1 PR, 9 pushes in 2 years 8 months
golangrisk-assessmentchecksdatadog
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