Product Manager - Decision Intelligence

Celonis is the global leader in Process Intelligence and the pioneer of Process Mining technology. As one of the world’s fastest-growing enterprise SaaS companies, we are changemakers pushing the boundaries of what’s possible. We invest heavily in advanced AI capabilities—specifically our Process Intelligence Graph—to turn data insights into immediate business action. We believe there is a massive opportunity to unlock global productivity and sustainability by placing intelligence at the core of every business process. Join our mission to make processes work for people, companies, and the planet. The Team: We are industrializing Enterprise AI by building the Celonis Context Model —a dynamic, real-time digital twin that translates your operational reality into a language AI understands, ensuring agents act reliably to drive meaningful business impact. Driven by our recent acquisition of Ikigai Labs, we are merging our industry-leading platform with pioneering MIT-born research in AI decision intelligence. Together, we are creating the definitive forward-looking layer of the Enterprise AI stack. We are looking for a product manager to help accelerate this vision. The Role As a Product Manager for Decision Intelligence , you are the anchor for delivering high-quality products to our customers at enterprise scale. You will partner intensely with PhD-level AI/ML researchers and core platform engineers who drive our foundational model capabilities. Specifically, you will own Celonis/Ikigai intelligence, a first-class citizen in the Celonis Context Model. Partnering deeply with ML engineering, AI platform, and infrastructure teams, you will lead the delivery of the model’s real-time decisioning and predictive layer. What You’ll Do (Responsibilities) Define Scope & Sequence: Partner closely with Engineering to turn foundation model capabilities (aiCast, aiMatch) into well-scoped, shippable enterprise product phases. Own the Delivery Timeline: Lead execution alignment, ruthlessly prioritizing the product backlog to ensure we deliver the right features, with the right technical scope, at the exact right time for our customers. Bridge Research and Commercialization: Act as the strategic connective tissue between engineering milestones and customer needs, translating complex technical limitations or breakthroughs into predictable roadmap timelines. Optimize the Model Lifecycle: Collaborate with ML platform engineers to optimize model onboarding, evaluation pipelines, and user-facing feedback loops, ensuring a frictionless deployment experience. Facilitate Cross-Functional Execution: Coordinate with Frontend, Design, and our Applied AI teams to ensure our capabilities are seamlessly integrated into the core platform and then into customer solutions. What We’re Looking For (Requirements) 5+ Years of Product Management Experience: Specifically within highly technical domains such as AI platforms, developer tools, MLOps, or complex enterprise data infrastructure. An Engineering-First Mindset: #J-18808-Ljbffr EngineersOfAI