Sales Engineer / Solutions Engineer – qaTT

Company Description

qaTT is an AI-native ChatOps platform tailored for modern DevOps and Site Reliability Engineering (SRE) teams managing complex, hybrid cloud environments. It allows engineers to interact with their infrastructure for tasks like incident investigation, querying logs, system analysis, and guided operational actions via platforms such as Slack or Microsoft Teams. Designed with enterprise requirements like security, scalability, and explainability, qaTT integrates seamlessly with Kubernetes, observability tools, and infrastructure-as-code workflows. Partnering with IBM, qaTT supports enterprises operating in hybrid and multi-cloud environments, offering solutions that reduce MTTR, improve operational efficiency, and enhance AI-driven infrastructure decision-making.

The Sales Engineer / Solutions Engineer role at qaTT is a full-time, on-site position located in North District, Israel. The individual in this role will collaborate with sales and technical teams to understand client needs, deliver tailored demonstrations of the qaTT platform, and guide prospects through technical evaluations. Additional responsibilities include providing pre-sales technical support, creating custom solutions for clients, and ensuring a smooth transition from pre-sales to implementation by working closely with technical and customer success teams.

• Expertise in Sales Engineering and Sales, with experience in addressing client requirements and creating tailored solutions.
• Strong background in Technical Support and Customer Service, ensuring client satisfaction throughout the engagement process.
• Excellent Communication skills for presenting technical solutions and fostering client relationships.
• Proficiency in hybrid cloud environments, DevOps, and SRE concepts is highly desirable.
• Ability to work closely with cross-functional teams, including sales, engineering, and customer success, to support seamless project delivery.
• Educational background in Computer Science, Engineering, or a related technical field is preferred.
• Prior experience in ChatOps platforms, Kubernetes, or observability tools is an advantage.