Customer Success Engineer - AI Performance Platform

Akamas; Lombardia; Remote; EUR 43,000 - 53,000; Full time

Benefits offered by this job

Remote-first culture

Global team collaboration

Job summary

Akamas is redefining performance engineering with AI and offers a remote-first role for a Customer Success Engineer. You will work with enterprise customers to unlock value, deliver trainings, and drive adoption of Akamas solutions across cloud-native environments.

Ideal candidates have 4+ years in technical customer-facing or engineering roles, strong Kubernetes knowledge, scripting basics, and excellent English communication.

Qualifications

• 4+ years in technical customer-facing roles or hands-on engineering.
• Understanding of IT architectures and cloud-native environments incl. Kubernetes.
• Basic scripting and automation with Bash and Python.
• Strong communication and stakeholder engagement.
• Fluent in English with international collaboration.

Responsibilities

• Guide customers through onboarding and platform adoption for long-term success.
• Deliver workshops, training, and enablement sessions on Akamas.
• Identify use cases, define objectives, and promote best practices.
• Monitor progress and report outcomes via business reviews.
• Coordinate support requests and escalations with internal teams.
• Lead customer adoption initiatives toward agreed goals.
• Build relationships with customer engineering teams as a trusted advisor.
• Gather feedback and collaborate with Product/Engineering to improve Akamas.
• Share customer success stories and lessons at events and internally.

Skills

Kubernetes

Scripting

English fluency

Customer-facing

Tools

Dynatrace

Datadog

Grafana

Prometheus

AWS

GCP

Azure

Job description

Akamas is redefining performance engineering with AI and offers a remote-first role for a Customer Success Engineer. You will work with enterprise customers to unlock value, deliver trainings, and drive adoption of Akamas solutions across cloud-native environments.

Ideal candidates have 4+ years in technical customer-facing or engineering roles, strong Kubernetes knowledge, scripting basics, and excellent English communication.