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Posted 9 days ago

Overview

At Carbon Relay, we build solutions that combine expertise in both data science and engineering. We’re looking for an experienced Product Manager to join our Red Sky Ops team. As a product manager you’ll be working directly with customers to determine their current and future needs for the Red Sky Ops product. You’ll also be collaborating directly with the development teams to determine how customer needs and current research efforts should be focused into new features and versions of the Red Sky Ops product.

As the product manager for Red Sky Ops you’ll own the feature set and roadmap for the product. The field of AIOps is a very wide-ranging space. You’ll be responsible for helping technical leaders and development teams decide on tradeoffs among customer needs, product direction, and overall product fit.

Red Sky Ops is heavily focused on the application performance optimization within Kubernetes clusters. Experience with highly technical domains such as IT infrastructure, Cloud environments, DevOps, and container orchestration will be very helpful.

Qualifications

  • Minimum of 5 years working as a product manager in a technical field

  • Experience working directly with customers to determine needs and requirements

  • Experience with Agile development processes

  • Experience with IT/Cloud-based infrastructure

  • Experience with DevOps culture and tooling

Preferred

  • Experience with Docker containers and Kubernetes or other container orchestration

  • Experience working with ML/AI-based products

Benefits

  • Unlimited Vacation

  • Flexible Work Schedule

  • Health Plan

  • Professional Training Opportunities

  • Office Snacks

About Carbon Relay

Carbon Relay is a world-class team of software engineers, data scientists and devops experts focused on harnessing the power of machine learning to help organizations achieve the most with their Kubernetes-based applications. With our innovative optimization platform, we help boost application performance while keeping costs down.