• Provide technical leadership to identify and develop strategies and projects that deliver the highest value business benefit to the company • Work with cross functional teams to review requirements and develop optimized technical solutions that fit business needs • Identify, develop, rollout, and provide governance for key strategies and programs across the manufacturing platform • Use subject matter expertise, third party engineering partners, and original equipment manufacturers to develop labor reducing and cost saving automation projects • Stay current with industry regulations and codes related to packaging equipment system design and operations, and provide recommendations to improve programs, policies, and goals • Provide technical and economic feasibility analysis to support business initiatives that deliver competitive advantages • Develop Front End Loading packages that are complete, clear, and reflect due diligence to ensure project success • Partner with engineering teams to establish cost, schedule, risk, and startup requirements for projects • Troubleshoot and drive continuous improvement of existing packaging operations • Lead machine design improvements and equipment modifications • Conduct production plant site surveys and assessments, and provide support to sites as needed

• Collaborate with team members to develop and maintain software products. • Build scalable and reliable backend services. • Write production-ready code in TypeScript. • Work in containerized environments using Docker and Kubernetes. • Engage in coding best practices and CI/CD processes. • Participate in code reviews and contribute to team knowledge sharing.

• Map how the Celonis platform accelerates and underpins the customer’s enterprise AI strategy. Take end-to-end accountability for massive ROI targets. Craft board-level executive narratives and lead complex, multi-workstream value workshops. • Execute C-level orchestration, cultivating powerful executive sponsorship across the C-suite. Drive lasting adoption by co-owning enterprise-wide change management and building advanced CoE operating models for total self-sufficiency. • Steer and govern massive, cross-regional transformation programs. Implement highly advanced AI-driven account planning across a portfolio of workstreams. Build actionable frameworks that empower the customer to quantify processes at a global scale. • Operate as a master AI-fluent operator, leveraging advanced copilots for rapid technical outputs and seamlessly orchestrating Applied Value Engineers for complex architectural builds. • Define the strategic expansion roadmap, positioning Celonis as the underlying intelligence layer for the enterprise. Guide product development by identifying next-generation industry use cases.

• Own Large Platform Projects • Take major features from concept to shipped: scoping, architecture, implementation, and rollout. • Own whole product areas end to end, whether it's the institution admin experience, the faculty tools for configuring AI assistants, or the student-facing product. • Partner with product and design to turn ambiguous customer needs into concrete, shippable product. • Full-Stack Feature Development • Ship features end-to-end in TypeScript, across the client, server, and database. • Build and extend the integrations that connect Nectir to the systems institutions already use. • Write performant, typed, test-covered code that's safe to change. • Quality, Performance, and Craft • Debug production issues across the stack, from the client to background services. • Raise the bar on code quality, test coverage, and architectural clarity. • Partner with DevOps on deployment, observability, and incident response. • AI-Augmented Development • Use AI coding tools as a daily part of how you build. • Scope work so agents handle what they do well and you own what they can't. • Collaborate on AI-facing product features alongside AI engineering when they cross into the platform. • Team and Leverage • Mentor teammates, review code thoughtfully, and strengthen the engineering culture. • Contribute to architectural decisions as the platform scales. • Communicate clearly in an async, distributed environment.