Verdigris

Principal Product Engineer, Cloud Platform

Palo Alto, CA 94306 · Principal

Sponsorship not specified$120k-$140kDetected 100 days ago

Cloud PlatformsMachine LearningIncident ResponseProduct ManagementCadenceSignal ProcessingControls

About the role

is actively migrating towards an AI-native culture, learning how to adopt practices that scale.
The 8 kHz ingestion pipeline is real and running in production.
This is a senior individual-contributor, player-coach role: no direct reports.

The APIs, MCPs, and workflows that deliver them.
Own the engineering side of the roadmap - what we build, in what order, with what architecture.
Establish AI-native development practices on the team. Not a policy - real tooling norms, a shared view on where agentic coding accelerates, and where it creates new risk.
Raise the hiring bar through interview rigor and design-review presence. Surface gaps you see in the team.
You will be instrumental in defining the next standard for AI-native development here, and you will hold the bar through your own work and through design and code reviews.
You report to the cofounder/CTO and partner with Product as a peer on what we build, in what order, and with what architecture.

If you have not been in a codebase recently, this is not the right fit.
You can review architecture, debug production, and make tradeoffs - not just delegate them.
You can operate without a clean roadmap.
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.

GPU racks pull 120-140 kW today.
By 2027, that number hits 600 kW to 1 MW per rack.
Design margins have compressed from 30% to 10-15%.
The monitoring systems built for the last generation of infrastructure poll at one-second intervals.
GPU workloads ramp in eight milliseconds.
AI is accelerating faster than the infrastructure beneath it can be understood.
The incumbent vendors - Schneider, Eaton, Vertiv - were built for a world where loads were predictable and slow.
They are not broken.
They are mismatched to what AI infrastructure demands.
Verdigris captures continuous waveforms at 8 kHz.
That is not a software improvement on existing monitoring data.

clear ownership, a culture of high craft, and senior engineering that accelerates the team through example rather than administration.
The candidate we want believes in this velocity.
We are building toward best-in-class industry standards: clear ownership, a culture of high craft, and senior engineering that accelerates the team through example rather than administration.
There is an engineering roadmap people trust - one that connects today's reliability work to the capacity optimization and orchestration capabilities we are building toward.
We are capitalizing on well-architected foundations, enabling us to move up the value delivery chain with our customers through a suite of well thought-through applications.
Platform reliability and deployment velocity are measurably better. Fewer fires, faster fixes.

This listing is sourced directly from Verdigris's careers page and normalized into a canonical job model.