Product Manager – Decision Intelligence

Celonis Celonis · Data AI · New York, NY · Product

Product Manager for Decision Intelligence at Celonis, focusing on industrializing Enterprise AI by building the Celonis Context Model. The role involves defining scope, owning delivery timelines, bridging research and commercialization, optimizing the model lifecycle, and facilitating cross-functional execution for AI-driven products.

What you'd actually do

  1. Define Scope & Sequence: Partner closely with Engineering to turn foundation model capabilities (_aiCast_, _aiMatch_) into well-scoped, shippable enterprise product phases.
  2. 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.
  3. 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.
  4. 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.
  5. 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.

Skills

Required

  • Product Management experience in technical domains (AI platforms, MLOps, data infrastructure)
  • Understanding of technical architecture
  • Comfort with structured/time-series data
  • Familiarity with model evaluation metrics
  • Experience with data pipeline architectures
  • Ability to break down complex technical projects
  • Strong communication skills for technical and business stakeholders

Nice to have

  • Experience with foundation models
  • Familiarity with MIT-born research in AI decision intelligence
  • Experience with Ikigai Labs technology

What the JD emphasized

  • 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
  • Technical Data Fluency
  • Systems Thinking & Scoping Mastery
  • Exceptional Communication

Other signals

  • Enterprise AI
  • Process Intelligence Graph
  • Celonis Context Model
  • AI decision intelligence
  • foundational model capabilities
  • real-time decisioning and predictive layer