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We are looking for a hands-on professional who will take ownership of customer-facing AI solutions, become a central point of contact for key customers, and work closely with our product and AI development efforts.
This is a cross-functional role with real impact on how the company operates and grows over the coming years.
Responsibilities:
Own and manage ongoing relationships with customers, gradually taking on a central Customer Success role
Analyze complex business needs and translate them into CRM and AI-based solutions
Define and design AI agents, automated processes, and advanced workflows
Lead and support solution implementation with customers, including hands-on involvement when needed
Work closely with development and implementation teams
Identify problems, propose solutions, and take full ownership from definition through execution
Continuously improve internal workflows and delivery processes using AI.

AI Transformation Lead -HO About the Role We are looking for a highly teהבגchnical and hands-on AI Transformation Lead to drive the implementation and adoption of AI across the organization. This is a builder role, not a strategy-only position. You will be responsible for identifying high-impact opportunities, designing and implementing AI-powered solutions, and integrating them into our existing systems and workflows across R&D, Support, Sales, and Operations. The ideal candidate combines a strong engineering background with the ability to translate business needs into scalable, production-ready solutions - and ensure they are actually adopted and deliver measurable impact.
Role Mission Lead the companys AI transformation end-to-end through practical implementation - building, integrating, and scaling AI-driven workflows and internal tools that improve efficiency, quality, and business performance across all departments.
What Youll Do Build & Implement AI Solutions (Core Focus)
* Design, build, and deploy AI-powered workflows, automations, and internal tools
* Develop rapid POCs and evolve them into production-ready solutions
* Work hands-on with LLMs, APIs, and automation frameworks
* Ensure solutions are scalable, maintainable, and aligned with system architecture
Integrate with Systems & Architecture
* Integrate AI solutions into existing platforms ( CRM, support systems, internal tools, data flows)
* Design robust integrations using APIs and orchestration layers
* Ensure alignment with engineering standards, security, and data integrity
Drive Cross-Company Impact
* Identify high-value use cases across R&D, Support, Sales, Domain, and Operations
* Translate business workflows into efficient, AI-driven processes
* Partner with stakeholders to ensure solutions solve real problems
Own Adoption & Impact
* Ensure solutions are used, not just built
* Define and track KPIs (efficiency, time saved, quality improvements, adoption rates)
* Continuously iterate based on feedback and real-world usage
Enable & Standardize
* Establish best practices for AI usage across the company
* Guide teams on how to effectively use AI tools in their daily work
* Act as the internal expert for AI workflows, tools, and capabilities

The Role Were looking for a Mid-Level DevOps Engineer to join our growing team and take part in designing, building, and operating scalable, secure, and automated AWS-based infrastructures. Youll work in a fast-paced environment, using advanced, cloud-native technologies, and have direct interaction with customers - understanding their challenges, designing solutions, and guiding them from architecture to production. Responsibilities Build and manage Infrastructure as Code (IaC) using Terraform Develop and optimize CI/CD pipelines (GitLab CI, GitHub Actions, Jenkins, etc.) Design, deploy, and maintain containerized environments using Docker & Kubernetes (EKS) Design and implement scalable, secure, and cost-efficient AWS architectures Work directly with customers to gather requirements, design solutions, and provide hands-on technical guidance Lead and support cloud modernization projects, including migrations and replatforming Monitor and improve system reliability using observability tools Troubleshoot complex production issues in dynamic, high-velocity environments Apply cloud security best practices (IAM, encryption, networking, compliance)