
Engineering Manager, Cloud Platform
Verdigris
full-time
Posted on:
Location Type: Hybrid
Location: Palo Alto • California • United States
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Tech Stack
About the role
- Manage a team of elite engineers
- Report to the cofounder/CTO
- Set direction and run the engineering operating cadence
- Read code, debug production issues
- Make architectural calls
- Establish AI-native development practices on the team
- Organize ownership across the three-pillar stack
Requirements
- Real technical depth in cloud infrastructure, data systems, or ML platforms. You can review architecture, debug production, and make tradeoffs — not just delegate them.
- You have inherited or built a small team before and made it better. You set expectations, build ownership, and coach people up.
- You can operate without a clean roadmap. You turn ambiguity into a plan with owners and timelines.
- You care about production quality. Observability, incident response, release discipline. You build the habits, not just the systems.
- You have strong opinions about how agentic coding tools change what a small team can build. You are actively shaping how your team works with AI — and you have the judgment to know where it helps and where it introduces new failure modes.
- You are pulled by the mission. AI infrastructure is being built on a foundation that was not designed for it. Verdigris is the layer that makes it trustworthy. That framing should feel meaningful to you, not just interesting.
Benefits
- Professional development opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
cloud infrastructuredata systemsML platformscode debuggingarchitecture reviewAI-native development practicesproduction qualityobservabilityincident responserelease discipline
Soft Skills
team managementcoachingsetting expectationsbuilding ownershipoperating in ambiguityturning ambiguity into plansstrong opinions on coding toolsjudgment in AI integrationmission-drivenbuilding habits