• Own and drive the full project lifecycle for customer implementations, from post-sale handover through Go-Live and Hypercare. • Develop and manage detailed project plans, timelines, milestones, and deliverables, ensuring alignment across internal and customer teams. • Lead project governance, including status tracking, reporting, and stakeholder communication at all levels. • Manage project risks, issues, and dependencies, proactively identifying mitigation strategies and driving resolution. • Own budget and scope management, ensuring projects are delivered within agreed commercial parameters. • Act as the primary point of contact for customers on project delivery, ensuring clear communication, expectation management, and alignment. • Coordinate cross-functional teams, including Solutions Architects, Engineering, Product, and Support, to ensure smooth execution. • Facilitate key project ceremonies, including: • Project kick-off calls • Weekly status meetings • Steering committees (when applicable) • Go-live readiness reviews • Support testing phases (System Testing & UAT) by coordinating timelines, stakeholders, and deliverables. • Drive Go-Live planning and execution, including cutover coordination and post-launch validation. • Oversee Hypercare phase, ensuring a smooth transition to Customer Success and long-term account stability. • Ensure accurate tracking of project progress using internal tools (e.g., Jira, Zendesk, Rocketlane, or equivalent). • Contribute to process improvements, project management standards, and scalable delivery frameworks. • Support pre-sales and discovery activities by providing input on timelines, delivery approach, and implementation feasibility.

• Provide architectural oversight and technical direction across teams developing Python-based automation and full-stack applications (React, Spring Boot) • Validate engineering approaches, enforce best practices, and ensure solutions are scalable, secure, and maintainable • Translate complex client requirements into clear, actionable technical designs • Lead solutioning sessions and define system architecture and automated processes in collaboration with engineering teams • Serve as the primary technical interface for stakeholders • Present solutions, guide decision-making, and manage trade-offs to ensure alignment with mission and program objectives • Oversee execution across technical workstreams, managing priorities, risks, and escalations • Proactively identify and resolve technical challenges early to maintain delivery timelines and quality

• You'll help build systems that: • Translate CAD models into machine-readable engineering data. • Connect Siemens NX, CATIA, SOLIDWORKS and other CAD platforms with cloud-native AI services. • Build scalable APIs that allow engineering applications to exchange geometry and metadata. • Develop Python services that automate complex engineering workflows. • Design backend systems that manage CAD assemblies, parts, configurations and engineering metadata. • Partner with researchers building next-generation Engineering AI.

• Lead from the front in qualified, high-impact AI pursuits by applying solution, AI portfolio, and industry depth, tailoring demonstrations and delivering proof-of-value engagements that drive customer confidence. • Act as the connective tissue between the AI portfolio and your domain (ERP, EAM, and/or FSM). Translate AI capabilities into credible, domain-specific outcomes and architectures, ensuring solutions are technically sound and implementable. • Provide insight-based guidance to shape marketing campaigns, sales plays, messaging, roadmap priorities, and competitive positioning for the AI portfolio within your domain. • Strengthen presales execution through key content creation, storytelling, reusable asset development, mentoring, and setting the example in delivery excellence. • Drive evolution in our AI go-to-market model through cross-functional collaboration, industry-specific sales plays, and field innovation.