Technology Consultant
Listed on 2026-06-26
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IT/Tech
Data Science Manager, Systems Engineer -
Engineering
Data Science Manager, Systems Engineer
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 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 focuses 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.
- Deliver Flex Sim DES consulting services across customer engagements, from discovery through implementation
- 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
- Support knowledge sharing and capability building within the Kraków hub and broader EMEA region
- Support the product teams by providing feedback to improve products and customer experience
- Work independently with guidance at key points, demonstrating strong ownership and accountability
- Bachelor’s degree in Engineering, Computer Science, Industrial Engineering, Operations Research, Systems Engineering or other related field
- Strong experience in Discrete Event Simulation, process improvement or related domain, with solid experience building and analyzing simulation models (Flex Sim or similar tools preferred)
- Basic to intermediate 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)
- Master’s degree in Engineering, Computer Science, Industrial Engineering, Operations Research, Systems Engineering or related field
- Experience using Autodesk Flex Sim to build DES models
- 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…
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