Critical Manufacturing

Sales

• Own and exceed annual sales targets within your assigned territory
• Develop and execute strategic sales plans to drive MES adoption and expand the customer base
• Build and maintain strong, long-term relationships with technical, operational, and C-level stakeholders
• Deliver compelling product demonstrations, proposals, and commercial negotiations
• Collaborate closely with Presales, Business Development, Marketing, and Delivery teams
• Stay current on industry-specific trends, challenges, and opportunities, particularly in high-tech and regulated manufacturing environments (e.g., semiconductor, electronics, life sciences, industrial equipment)
• Provide accurate sales forecasts and performance reporting, recommending corrective actions when needed
• Represent the company at industry events, customer meetings, and trade shows
• Operate autonomously while remaining fully aligned with the global sales strategy

Sales Manager – Global Sales Expansion

Analyst

• **What You Will Do **
• - Perform business process analysis and elaborate strategies and plans for MES implementation
• - Understand specific customer requirements and map them to solutions from the Critical Manufacturing offering
• - Create configurations and customizations tailored to customer needs
• - Perform demonstrations of the solution adapted to customer requirements
• - Coordinate custom developments required for specific manufacturing environments
• - Ensure smooth communication between customers and implementation/development teams
• - Oversee implementation, deployment, and user training activities
• - Facilitate reviews and signoff of key deliverables and milestones with stakeholders

Functional Analyst

AI Engineer

• Develop MCP Servers
• Implement and maintain Model Context Protocol (MCP) servers that connect language models to manufacturing domain tools and data sources
• Optimize server performance and define clear interfaces for tool integration, ensuring models have safe, reliable access to business logic
• Collaborate with team leads to map complex manufacturing workflows into structured tools and prompts
• Build Model Observability and Telemetry Infrastructure
• Design and implement comprehensive telemetry systems to track model behavior, token usage, latency, and cost in production
• Create dashboards and alerting systems that give real-time visibility into model performance and anomalies
• Instrument models to capture structured traces: prompts/system context, tool invocations, inputs/outputs, intermediate artifacts, and decision metadata
• Contribute to standards for logging, tracing, and distributed observability across all AI systems
• Develop Retraining and Continuous Improvement Pipelines
• Build data collection pipelines that capture production interactions, model failures, and edge cases for retraining
• Implement automated systems for evaluating model improvements and managing safe rollouts
• Contribute to feedback loops that allow the platform to learn from real-world usage without manual intervention
• Support Team Deliverables
• Write clean, testable code and contribute to team codebases, documentation, and CI/CD processes
• Participate in code reviews, technical design reviews, and troubleshooting production issues
• Experiment with new tools and techniques under team guidance to improve AI system reliability
• Promote the adoption of agentic coding across teams to accelerate delivery and increase throughput while maintaining quality and security standards
• Design repositories, CI, and developer tooling that make agent-driven changes safe (linting, typed APIs, contract tests, golden tests, eval gates)
• Ensure Production Reliability
• Implement robust error handling, fallback strategies, and graceful degradation for AI systems
• Monitor and tune AI systems for performance, uptime, and safety in manufacturing environments
• Gather feedback from operations and product teams to refine tooling and server implementations