Job Description

Position Overview With today’s rapidly changing markets, our customers must become more agile and resilient to adapt their operations quickly and efficiently. They are increasingly seeking connected solutions that provide actionable insights across their facilities to reduce costs, increase throughput, and improve operational performance. The Process Modeling & Execution (PME) team, part of Autodesk Operations Solutions (AOS), helps customers understand the impact of planning and operational decisions using Discrete Event Simulation and complementary solutions. These technologies enable customers to simulate, optimize, and operationalize their facility processes, empowering faster and more informed decision‑making. Autodesk is looking for a Senior Technology Consultant to join our team. In this role, you will work closely with customers primarily across the EMEA region (Europe, the Middle East, and Africa) and globally as required. You will also work with internal teams including Sales, Product Development, and Marketing, to deliver impactful outcomes and drive adoption of Discrete Event Simulation (DES) and related operations solutions. The role is primarily focused on ensuring successful outcomes for our customers, with opportunities to support pre‑sales activities and internal capability building. This is an exciting opportunity for someone who enjoys solving complex problems, working with advanced simulation technologies, and contributing to digital transformation in operational environments. Responsibilities Deliver FlexSim DES consulting services across customer engagements, from discovery through implementation, leading workstreams with a high degree of independence Serve as a senior technical contributor on consulting engagements, guiding project approach, model design, analysis and customer communication Assist with technical support escalations, acting as a subject matter expert for customers, external sales channels and colleagues who need assistance Develop, validate and present simulation models to analyze system performance, identify bottlenecks and recommend improvements Collaborate with customers and AOS stakeholders to translate business challenges into scalable and repeatable solutions Support pre‑sales activities including technical demos, solution design, and scoping of consulting engagements Develop a deep understanding of current and new AOS technologies as our solutions develop Work cross‑functionally with AOS Product Management, Software Development and Customer Success to ensure successful customer outcomes Contribute to the development of standardized methodologies, reusable assets, and best practices within AOS Deliver training sessions, workshops and presentations to customers, partners and internal teams Mentor less experienced team members and support knowledge sharing and capability building within the Kraków hub and broader EMEA region Influence the product teams by providing feedback to improve products and customer experience Work independently with limited guidance, demonstrating strong ownership, accountability, and sound judgment Identify opportunities to improve delivery efficiency, solution quality, and repeatability across projects Minimum Qualifications Bachelor’s degree in Engineering, Computer Science, Industrial Engineering, Operations Research, Systems Engineering or other related field 8+ years of experience in Discrete Event Simulation, process improvement or related domain, with solid experience building and analyzing simulation models (FlexSim or similar tools preferred) Strong programming skills (e.g., C++, Python or other object‑oriented languages) Good understanding of manufacturing systems, process flows, and/or facility operations Strong analytical, abstraction, and problem‑solving skills Strong organizational skills with the ability to manage multiple priorities and follow through on commitments Demonstrated curiosity and willingness to learn new tools, technologies and domains Excellent communication skills in English (written and verbal) Preferred Qualifications Master’s degree in Engineering, Computer Science, Industrial Engineering, Operations Research, Systems Engineering or related field Experience using Autodesk FlexSim to build DES models Experience using AI and reinforcement/machine learning tools Basic understanding of facility operations and associated applications, such as production/manufacturing operations, asset and maintenance management Knowledge of digital twin or smart factory tools and/or concepts Experience in manufacturing, logistics, or industrial engineering environments Experience in multiple domains of the Operations lifecycle Experience leading consulting workstreams or owning technical delivery for customer engagements Familiarity with CAD tools (e.g., Fusion, AutoCAD, Inventor, Revit) Good understanding of data integration, SQL or analytics workflows Experience working in or with shared services or delivery organizations Additional language skills are a plus Key Skills Discrete Event Simulation Process optimization and improvement Digital Twin and smart manufacturing Technical leadership Data‑driven decision making Stakeholder engagement and communication Problem‑solving and analytical thinking #J-18808-Ljbffr

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