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RIB Software

Subscription-based construction software for lifecycle management

Agile Product Owner - m/f, Analytics Plattform, Scrum, AI & Data

Product ManagementUpdated on Nov 10
Full-timeBerlin, GermanyIn-person

About the Job

Requirements

  • Several years of experience in product ownership, technical product ownership, project management, or a comparable software-delivery role.
  • Demonstrated experience managing Agile backlogs and participating in planning, refinement, reviews, and retrospectives.
  • Proven ability to translate complex business and user needs into clear, testable, implementation-ready requirements.
  • Experience collaborating with architects, developers, data engineers, quality assurance, DevOps, and other technical stakeholders.
  • Strong cross-team dependency management, stakeholder communication, and experience in international or distributed teams.
  • Professional fluency in English and demonstrated experience integrating AI-assisted tools into regular workflows.

Responsibilities

  • Own and refine the Unify Analytics backlog, translating strategy, customer needs, and business requirements into clear epics, features, and user stories.
  • Define testable acceptance criteria, including performance, security, scalability, and accessibility requirements.
  • Align Product Management, user experience, Data Engineering, and research and development on workflows, data models, application programming interfaces, technical concepts, and analytical experiences.
  • Ensure sprint readiness, clarify requirements, and coordinate dependencies, feature kick-offs, and cross-team delivery.
  • Support release planning, readiness, functional acceptance, and communication of progress, risks, and blockers.
  • Establish responsible, repeatable AI-assisted workflows across discovery, requirements, refinement, analysis, and documentation.

Desired Qualifications

  • Strong user-story, acceptance-criteria, and structured requirements-writing skills.
  • Ability to turn ambiguous business problems into clear product behaviours and manageable delivery increments.
  • Strong backlog-management, prioritisation, and sprint-readiness capabilities.
  • Ability to validate consistency across requirements, user-experience flows, data definitions, application programming interfaces, and technical dependencies.
  • Understanding of software-development lifecycles, integrations, and tools such as Azure DevOps or Jira.
  • Strong analytical thinking and the ability to balance customer value, strategy, dependencies, and delivery capacity.
  • Experience with analytics, business intelligence, reporting, dashboarding, or data-driven software products.
  • Understanding of key performance indicators, dimensions, filters, aggregations, semantic models, and data quality.
  • Familiarity with embedded analytics, self-service analytics, or natural-language-driven product experiences.
  • Experience with data platforms, pipelines, or cloud-based analytics architectures.
  • Experience supporting international software-as-a-service products or working in the construction, engineering, or architecture, engineering, and construction domain.
  • Actively use AI tools in day-to-day work for research, content creation, analysis, design, or software development; understand where AI adds value and where human judgement remains essential; use AI thoughtfully to improve efficiency and quality; critically evaluate AI-generated outputs and make informed decisions based on expertise.

About the Company

RIB Software

Subscription-based construction software for lifecycle management

RIB Software delivers digital software solutions for the construction industry, providing a subscription-based suite that covers the entire project lifecycle from design to operation. Its products include tools for 2D and 3D takeoffs, cost estimation, and project management, all accessed as a service and supported by consulting and training services. The software works by letting users plan, estimate, and manage costs in one connected platform, using data analytics to improve decision-making and resource use. The company differentiates itself by focusing on end-to-end lifecycle management for AEC projects, emphasizing data-driven insights, efficiency, and sustainability rather than standalone point tools. Its goal is to help construction firms, engineers, and project managers complete projects more efficiently, with lower costs and better environmental outcomes.

Company size
1,001-5,000
Company stage
Growth Equity (Venture Capital)
Total funding
$10M
Headquarters
Stuttgart, Germany
Founded
1961

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