
11 - 50 employees
Founded 2019
☁️ SaaS
🏢 Enterprise
🤖 Artificial Intelligence
💰 $10M Seed Round - Akamas on 2025-02
SaaS • Enterprise • Artificial Intelligence
Akamas is a software platform that provides AI-powered, autonomous full-stack infrastructure and application optimization. It helps DevOps, SREs, and performance engineers continuously optimize Kubernetes workloads, application runtimes (JVM, Node. js, Go), big data (Spark), cloud instances, and AI/GPU stacks to improve performance, reliability, and cost efficiency. The platform offers offline and production optimization, patented reinforcement-learning-based AI engine, GitOps integration, explainable recommendations and autonomous changes, focused on cloud-native and GPU/AI workloads. Key use cases include tuning JVM on Kubernetes, selecting optimal Kubernetes pod resources and autoscaling settings, instance selection for cost and carbon footprint reduction, runtime tuning, and Spark job/cluster automation.
🔥 45 minutes ago
🇮🇹 Italy – Remote
💵 €48k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🧑🔧 Technical Customer Success Manager
👻 Ghost score 0%
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11 - 50 employees
Founded 2019
☁️ SaaS
🏢 Enterprise
🤖 Artificial Intelligence
💰 $10M Seed Round - Akamas on 2025-02
SaaS • Enterprise • Artificial Intelligence
Akamas is a software platform that provides AI-powered, autonomous full-stack infrastructure and application optimization. It helps DevOps, SREs, and performance engineers continuously optimize Kubernetes workloads, application runtimes (JVM, Node. js, Go), big data (Spark), cloud instances, and AI/GPU stacks to improve performance, reliability, and cost efficiency. The platform offers offline and production optimization, patented reinforcement-learning-based AI engine, GitOps integration, explainable recommendations and autonomous changes, focused on cloud-native and GPU/AI workloads. Key use cases include tuning JVM on Kubernetes, selecting optimal Kubernetes pod resources and autoscaling settings, instance selection for cost and carbon footprint reduction, runtime tuning, and Spark job/cluster automation.
• Guide customers through onboarding and platform adoption • Deliver workshops, product training, and enablement sessions • Help customers identify use cases, define objectives, and adopt best practices • Monitor customer progress, measure outcomes, and communicate results through business reviews • Coordinate support requests and technical escalations with internal teams • Lead customer adoption initiatives and projects • Build relationships with customer engineering and development teams as a trusted advisor • Gather customer feedback and collaborate with Product and Engineering teams • Share best practices, customer success stories, and lessons learned internally and at industry events and conferences
• 4+ years of experience in technical customer-facing roles or hands-on engineering roles • Good understanding of IT architectures and cloud-native environments, including Kubernetes • Basic scripting and automation skills, such as Bash and Python • Ability to understand technical challenges and work with engineering teams • Strong communication and presentation skills • Ability to engage technical and business stakeholders • Customer-oriented mindset and interest in building customer relationships • Fluent in English • Nice to have: familiarity with observability and monitoring tools such as Dynatrace, Datadog, Grafana, and Prometheus • Nice to have: exposure to application stacks such as Java, Node.js, or Go, or performance tuning concepts • Nice to have: experience with AWS, GCP, or Azure • Nice to have: involvement in tech communities, customer enablement, or open-source projects
• Primarily remote work with an outcomes-focused remote-first mindset • Mac or Windows equipment provided • Opportunity to make a visible impact from day one • Opportunity to shape practices in a growing startup • Equal opportunity employer committed to fair and non-discriminatory treatment
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