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Lead development and production operation of distributed microservices supporting analytical query engines. Evolve a premium query engine, deliver migration milestones, analyze customer workloads, build operational tooling, and maintain security and reliability across large-scale systems. The role requires Java and Python expertise, distributed data-intensive systems experience, asynchronous programming, fleet-wide deployments, and production ownership.

Owns strategic manufacturing accounts in Switzerland, primarily using a land-and-expand model to generate enterprise SaaS sales. Builds C-level relationships, leads consultative discovery, develops AI-enabled use cases, closes seven-figure deals, and orchestrates cross-functional teams through complex sales cycles. The role requires deep manufacturing process knowledge, strong enterprise account management, German and English fluency, and regular in-person engagement in German-speaking Switzerland.

Lead the development and scaling of AI-powered demo tools and agentic workflows. Build systems that generate data stories, UI screens, configurations, talk tracks, summaries, and pitch decks for go-to-market teams. Own the demo lifecycle from opportunity identification and prioritization through development, configuration, QA, release, and iteration. Automate repetitive tasks, collaborate with product and engineering teams, drive user adoption, and translate complex AI capabilities into compelling executive narratives.

Own strategic manufacturing accounts in Switzerland, primarily expanding existing customers through complex, consultative SaaS sales. Engage C-level stakeholders, uncover business needs, develop AI-enabled use cases, close seven-figure deals, and lead end-to-end sales cycles. Coordinate internal teams, consulting partners, and implementation partners while driving value realization across manufacturing, supply chain, production, and finance processes.

Build and scale agentic AI systems that automate demo creation, including data stories, UI screens, configurations, talk tracks, summaries, and pitch decks. Own the full lifecycle of AI demo tools, from identifying high-impact use cases through development, configuration, QA, release, and continuous improvement. Partner with product, engineering, sales, and solution engineering teams while translating complex technical capabilities into compelling executive narratives.

Supports Celonis Value Engineering by analyzing customer data, identifying process inefficiencies, translating business challenges into platform use cases, quantifying financial impact, and preparing executive presentations. Collaborates with customers, partners, sales teams, and decision-makers to develop proof-of-value projects and data-driven business cases. The intern presents Celonis’ AI and process intelligence capabilities while building technical, analytical, consulting, and customer-facing experience for potential transition into the Orbit Graduate Program.

Build and prototype AI-driven solutions on the Celonis Process Intelligence Platform for strategic customers. Responsibilities include AI discovery, solutioning, hackathons, proof-of-value projects, agentic process transformation, business impact presentations, ROI realization, and reusable best-practice development. The role combines technical development with customer advisory, executive communication, and enterprise software value engineering.

Develop and optimize a highly parallelized, distributed process query engine using modern C++ and Java. Design data-management and query-execution algorithms, benchmark performance, improve scalability and reliability, support production systems, mentor engineers, lead projects, and define technical roadmaps while collaborating with stakeholders and customers.

Supports customer-facing technology consulting projects using Celonis and AI deployment tools. Responsibilities include gathering and validating data, conducting exploratory analysis, directing AI agents to build data models and dashboards, configuring solutions, developing KPIs, validating outputs, and documenting designs. The intern works alongside Deployment Engineers while learning specification, context engineering, business process analysis, and AI-augmented solution delivery.

Supports customer-facing deployment projects by gathering and analyzing data, directing AI agents to build data models and dashboards, configuring Celonis solutions, validating outputs, developing KPIs, and documenting solution designs. The intern learns AI-augmented software delivery, process analysis, specification writing, and context engineering while working alongside experienced Deployment Engineers.