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ScaleOps

Kubernetes optimization platform for cost reduction

Vice President AI

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeTel Aviv-Yafo, IsraelNo salary listedIn-person

About the Job

Requirements

  • Experience building and shipping AI agents and processes within the last 18 months in a go-to-market or business operations context, rather than purely research.
  • Experience leading at least 2–4 people.
  • Strong technical capability, likely from an engineering background, with the ability to build hands-on rather than only direct.
  • RevOps experience is a strong advantage, including end-to-end understanding of go-to-market workflows such as pipeline, CRM hygiene, Gong, Salesforce, lead routing, and post-sales handoffs.
  • Experience working within a sales or marketing team and building AI on top of its actual workflows is a strong advantage.

Responsibilities

  • Set the company AI roadmap and drive AI initiatives across the organization.
  • Run the weekly AI review in which each function presents what it automated that week.
  • Enable the CEO directly, keep him at the forefront of AI technology, and drive technology stack improvements.
  • Work closely with R&D leadership to ensure cross-company collaboration.
  • Enable the Sales, CX, and Marketing teams to become AI-native.
  • Ramp every new hire on the ScaleOps AI stack within their first two weeks.
  • Audit every function for AI gaps and prioritize them by revenue impact.
  • Measure adoption through hours saved, tasks automated, and usage rate per skill.

Desired Qualifications

  • RevOps experience is a strong advantage, including end-to-end understanding of go-to-market workflows such as pipeline, CRM hygiene, Gong, Salesforce, lead routing, and post-sales handoffs.
  • Experience working within a sales or marketing team and building AI on top of its actual workflows is a strong advantage.

About the Company

ScaleOps

Kubernetes optimization platform for cost reduction

ScaleOps provides a cloud cost-optimization platform for Kubernetes environments as a SaaS. It automatically manages container resources by rightsizing CPU and memory in real time based on application demand, eliminating manual tuning. It also offers Smart Pod Placement to consolidate pods across nodes when possible, reducing underutilized capacity and lowering infrastructure costs. This combination helps clients improve workload capacity and performance while cutting cloud spend, with case studies reporting up to 50% savings. The platform differentiates itself by end-to-end automated resource management and intelligent placement within Kubernetes, targeting enterprises that run cloud-native applications. ScaleOps’ goal is to help organizations run Kubernetes more efficiently and cost-effectively through subscription-based access to its optimization engine.

Company size
51-200
Company stage
Series C
Total funding
$209.5M
Headquarters
Tel Aviv-Yafo, Israel
Founded
2022

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