a37

Chief of Staff / GTM Engineer

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Older posting · still listed ·

  • onsite
  • FullTime
  • Growth
  • San Francisco
Work arrangement
onsite
Employment
FullTime
Stated compensation
Not specified
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Requirements

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Remote policy
onsite
“Provider workplace type: onsite”
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Employment type
FullTime
9 fields not stated in this posting
Employer sponsorship
Not specified
Geographic scope
Not specified
Degree requirement
Not specified
Security clearance
Not mentioned
Timezone / hours
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Not mentioned
Minimum experience (years)
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Compensation
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Original job description

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a37 is an AI research and product lab training fully autonomous DevOps engineers. Today’s DevOps landscape is a patchwork of disconnected, hard-to-manage tools. The resulting operational tax causes org wide issues: heightened security risk, rising cloud spend, and slower release cycles. The rise of AI software engineering agents has exacerbated these issues, causing more stress on DevOps teams than ever before. This isn't just inefficient—it's unsustainable. The current approach to DevOps will inevitably collapse under its own weight. Our team is a tight-knit group of second time technical founders with deep experience across AI and infrastructure. We work to win.
Original formatting and links

a37 is an AI research and product lab training fully autonomous DevOps engineers.

Today’s DevOps landscape is a patchwork of disconnected, hard-to-manage tools. The resulting operational tax causes org wide issues: heightened security risk, rising cloud spend, and slower release cycles.

The rise of AI software engineering agents has exacerbated these issues, causing more stress on DevOps teams than ever before. This isn't just inefficient—it's unsustainable. The current approach to DevOps will inevitably collapse under its own weight.

Our team is a tight-knit group of second time technical founders with deep experience across AI and infrastructure. We work to win.

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