• 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.

Smartcuts is building a browser extension that turns your clicks and keystrokes into shareable, no-code automations (1-minute video). We're looking for individuals who approach their craft with curiosity, clarity, and an appetite to learn to join our tiny but mighty distributed team. Some of the interesting engineering and design challenges in this problem space? - How do you design a product that doesn't expose engineering concepts to users? - How can you design an algorithm that can reliably locate elements on a page, without asking the user to specify css selectors? - How can you leverage AI to automatically detect and extract structured records from a web page?

• Architect the design and help develop, test and maintain secure microservices and distributed systems using C# .NET, ensuring alignment with Delinea’s cloud and security architecture standards. • Develop, maintain, and optimize data access across Azure Cosmos DB and relational systems (Azure SQL), and implement caching and RabbitMQ-based event-driven workflows for internal and platform messaging. • Integrate with enterprise identity providers (Okta, Microsoft Entra ID/Graph) and internal identity and multi-tenancy services to support secure, tenant-aware access control. • Implement Infrastructure as Code (IaC) using Terraform for consistent provisioning and lifecycle management of Azure resources. • Develop and maintain CI/CD pipelines for secure, automated deployments using Azure DevOps. • Collaborate with architects, product managers, and DevOps teams to define system roadmaps, ensuring compliance with security and privacy requirements. • Conduct code and design reviews, emphasizing performance, security, and maintainability. • Provide technical mentorship to engineering peers and foster a culture of continuous improvement.