Technical Partner Manager
Posted 23 Aug 2026
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 5+ yrs
- Management level
- Individual contributor
- Employment
- On-Site
No salary listed for this role.
ScaleOps is redefining autonomous cloud and AI infrastructure. We're on a mission to free DevOps and platform engineers from manual resource management so they can focus on innovation, not tuning resources. The results: maximized performance and a reduction of cloud costs by up to 80%.
As the category leader in Autonomous Cloud and AI Infrastructure Resource Management, we're trusted by leading enterprises including Adobe, Wiz, Epic Games, Northwestern Mutual, Coinbase, DocuSign, and Fortune 100 companies to autonomously manage their most critical production environments.
Backed by Insight Partners, Lightspeed Venture Partners, and other leading VCs with over $210M in funding, ScaleOps is the leading player in a massive and growing market. We are building the autonomous infrastructure management platform that will power the next decade of enterprise compute.
About This Role
Our Alliance partners (AWS, Azure, GCP, Nvidia) are our most important go-to-market partners. You will own the relationships across the Rest of World, covering EMEA, APJ, and Israel, as well as the technical side of the partnership globally. This role will lead building product integrations and initiatives with our cloud partners alongside our internal engineering teams.
You will report to the Director of Alliances and work daily with our sales team, our Partner Development Managers, Partner SAs, and ScaleOps R&D.
What You Will Be Doing
Own the co-build agenda with AWS & GCP
- Drive our active co-build initiatives with AWS/GCP product and engineering teams from scoping through launch.
- Own the technical relationship with AWS/GCP product managers and engineers on the EKS/GKE, Karpenter, and container services teams. Be the person they call, and the person who can answer without scheduling a follow-up.
- Track the EKS/GKE and AI/ML roadmap closely enough to tell us what it means. Dynamic Resource Allocation, MIG and time-slicing landing in Karpenter and Auto Mode/Auto Pilot, managed control plane work, and pod isolation all move the ground under our product. You will be the first person at ScaleOps to see it coming.
- Continuously validate that ScaleOps runs on where AWS/GCP are going, not just where it is. As AWS/GCP abstracts the node further, our agent, our scheduler, and especially our GPU device plugin need to keep working. Confirming that, early, is a standing part of the job.
- Bring AWS/GCP requirements and constraints back into R&D as real engineering input, and represent our architecture back to AWS/GCP accurately enough that they design around it.
- Look for opportunities to be a design partner and later a launch partner.