Sales Engineer

🔥 1 hour ago

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Akamas

WebsiteLinkedInAll Job Openings

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.

📋 Description

• Deliver live product demos to showcase Akamas’ capabilities. • Manage and resolve technical inquiries during the sales process. • Analyze customer requirements to design tailored solutions and PoC proposals. • Lead and execute Proof of Concepts that prove how Akamas works in real environments. • Shape tailored solutions to match customers’ needs. • Respond to RFI/RFP requests with clear and detailed technical information. • Partner with Product & Engineering to make sure what we promise is real and scalable.

🎯 Requirements

• 5+ years of experience in technical customer-facing roles (Solution Engineer, Technical Account Manager, or similar) • Strong knowledge of enterprise architectures based on Kubernetes • Familiarity with observability solutions (such as Dynatrace, Datadog, Grafana, ...) • Strong communication and presentation skills, including experience engaging with technical and executive stakeholders • Flexible and proactive, able to balance pre-sales, PoC execution, and handover to Customer Success teams. • Nice to have background in performance engineering • Experience in tuning complex IT Stacks (based on Java, Node.js, Go, ...) • Proficiency in major cloud platforms (AWS, Google, etc.) • Strong scripting/automation skills (Bash, Python)

🏖️ Benefits

• A remote-first mindset • Make a real impact • Tech your way