Engineering Manager, Cloud Platform

Verdigris

Engineering Manager leading the cloud platform team at AI infrastructure startup. Managing elite engineers and optimizing cloud solutions for high-performance computing.

Posted 4/15/2026full-timePalo Alto • California • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

Professional development opportunities

ATS Keywords

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Applicant Tracking System Keywords

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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