Application Product Manager - (ai System Transformations)

Celonis Celonis · Data AI · Please Update Field · Value Engineering

Product Manager role focused on building and shipping AI-driven solutions for enterprise system transformations, leveraging Celonis's Process Intelligence platform. The role involves a hybrid of product management and engineering, with hands-on prototyping, data composition, and iteration with customers. The goal is to turn cutting-edge AI capabilities into adopted solutions for system modernization.

What you'd actually do

  1. Build and ship purpose-built but flexible solutions that span the full enterprise modernization journey
  2. Leverage the most cutting-edge capabilities of the Celonis platform and compose them into coherent, deployable solutions
  3. Work hands-on with frontier AI development tools that plug natively into the platform, using them to accelerate how you build, enrich, and deploy solutions
  4. Move fluidly between customer, prototype, and production: discover the pain point, build the thing, put it in front of users, and iterate fast
  5. Drive all steps within the product development lifecycle from ideation to product development to scaling solutions across all Celonis customers

Skills

Required

  • Product management
  • Technical product management
  • Product engineering
  • Data analysis (SQL, PQL, Python, MCP)
  • Prototyping
  • Building solutions
  • Enterprise system modernization
  • Enterprise architecture
  • Customer collaboration
  • Cross-functional collaboration
  • Agile development

Nice to have

  • SAP system composition (functional and/or SAP base)
  • German language skills

What the JD emphasized

  • shipping quickly matters more than perfect process
  • line between "designing the product" and "building the product" is intentionally blurry
  • owning something end-to-end
  • measured by what you ship rather than what you spec
  • building products that turn the cutting edge capabilities of the Celonis Process Intelligence platform from strategy into solutions customers run on
  • Work hands-on with frontier AI development tools
  • Move fluidly between customer, prototype, and production
  • iterate fast
  • Drive all steps within the product development lifecycle
  • Proven experience as a product engineer, technical product manager, founding/forward-deployed engineer, functional consultant or comparable hybrid builder role
  • A track record of building coherent product offerings, not just isolated features
  • Technical and tech-savvy: comfortable in data (SQL, PQL, Python, MCP, Agents), able to prototype and build, and quick to pick up new tools and platforms
  • Thrives in ambiguity with an entrepreneurial mindset. Self-directed, biased toward action, and able to make progress without a fully defined roadmap

Other signals

  • AI-powered system transformation
  • Process Intelligence Graph
  • compose AI-driven applications
  • enterprise modernization journey
  • frontier AI development tools