Die RIB-Gruppe ist der weltweit führende Anbieter von Softwarelösungen für die Steuerung von Projekt- und Unternehmensprozessen in der Bau‑ und Immobilienbranche. Mehr als 60 Jahre Branchenerfahrung befähigen uns, unser Ziel, die Bauindustrie zur nachhaltigsten und digitalisiertesten Branche des 21. Jahrhunderts voranzutreiben, mit unseren Kunden erfolgreich zu erreichen: "Building Better Together".

Die Vision, Bauprojekte durch digitale Arbeitsmethoden effizienter und transparenter zu machen, haben wir in den letzten Jahren bei unseren Kunden Realität werden lassen – doch damit geben wir uns noch nicht zufrieden: wir wollen der Bauindustrie die Spitzenposition der Zukunft sichern!

Dies ermöglichen unsere 2.500 Mitarbeiter*innen weltweit; davon > 500 Mitarbeiter*innen in DACH. Als eigenständiges Unternehmen der Schneider Electric eröffnen wir dir dabei nationale und internationale Karrierechancen und sinnstiftende Aufgaben in kaufmännischen und technischen Bereichen. Sei ein Teil davon #ONERIB.

As Product Manager AI, you will shape how construction professionals experience intelligent technology. You'll turn real workflows into practical, trustworthy AI capabilities‑driving discovery, defining value, and guiding delivery across RIB's products. Balancing user needs, data readiness, model choice, and strict requirements for security and performance, you'll work closely with Engineering, Data/ML, UX, Security, Customer Success, and domain experts to bring impactful AI modules to life.

Key responsibilities

Product Strategy & Discovery

Own the AI roadmap for one or more RIB product areas (e.g., project controls, estimating, procurement, documentation).
Identify high‑value AI opportunities via user research, workflow studies, and quantitative data.
Define end‑to‑end AI concepts: problem, user, JTBD, metrics, data needs, rollout plan.
Prioritize use cases based on ROI, feasibility, data availability, complexity, and time‑to‑value.

AI Module Development (End‑to‑End)

Create PRDs including AI‑specific requirements: context inputs, guardrails, evaluation, human‑in‑the‑loop.
Partner with ML/Engineering to choose the right approach (rules/ML, SLMs, LLMs, RAG).
Define data and retrieval strategy: chunking, embeddings, metadata, vector search, permissions.
Drive seamless product integration: UX flows, transparency, approval paths, and controls.

Evaluation, Quality & Trust

Establish evaluation frameworks: test sets, golden datasets, regression suites, online monitoring.
Track key AI metrics: task success, time saved, precision/recall, groundedness, cost/latency.
Mitigate LLM risks: hallucinations, prompt injection, data leakage, bias.
Implement guardrails: citations, refusal paths, escalation, role‑based access, auditability.

Delivery, Operations & Scaling

Collaborate with platform teams on MLOps/LLMOps: deployment, versioning, observability, cost control.
Plan staged rollouts: feature flags, previews, beta programs; support GTM training and enablement.
Ensure compliance and enterprise readiness with Legal/Security (GDPR, data boundaries, retention).

AI Knowledge & Skills

Know when to apply SLMs, LLMs, or classic ML based on accuracy, latency, cost, and reliability.
Practical understanding of RAG: embeddings, vector search, chunking, metadata filters, access control, grounding.
Strong grasp of LLM workflows: prompting, tool/function calling, agents, fine‑tuning vs. prompt/RAG, context/token limits.
Awareness of AI risks (hallucinations, prompt injection, data exposure) and how to mitigate them.
Experience delivering AI features on Azure AI, AKS/Kubernetes, or similar cloud platforms.

Essential requirements

5+ years of experience in B2B Product Management (SaaS preferred), owning roadmap and outcomes.
Proven ability to ship complex software from discovery → launch → iteration with measurable impact.
Strong stakeholder management: align Engineering, UX, Sales/CS, and leadership on priorities and tradeoffs.
Analytical mindset: comfortable with data, experimentation, and KPI definition.
Clear communication: you can explain AI tradeoffs to both technical and non‑technical audiences.
Very good English language skills (min. Level C1)

Advantageous

Experience in construction software, AEC, ERP, estimating, project controls, procurement, BIM, or document management.
Understanding of enterprise buying cycles, security/compliance expectations, and multi‑tenant SaaS constraints.
German language skills

Benefits

A structured start: individual onboarding, newcomer event, organized networking
Goodies such as employee discounts, bonuses for major life events, Schneider Electric stock ownership, health management, and more depending on location.
Modern working time model: trust‑based working hours, flexible working hours/flexitime, option to work hybrid or remotely.
Career development: team‑ or role‑based training, national and international prospects within the RIB Group or Schneider Electric.
Opportunities to make an impact and shape the future through values such as IACT, idea management, and active participation in team and management level meetings.
Ways to be sustainable: digital infrastructure, modern equipment, and, depending on your role, an electric car as a company vehicle.

Chancengleichheit und Diversity

RIB fördert die Chancengleichheit von Frauen und Männern in allen Funktionen und Tätigkeitsfeldern. Ganz gleich ob weibliche Führungskräfte, Mitarbeitende mit Behinderung, Berufseinsteigende oder ältere Berufserfahrene – für uns zählt Engagement und die richtige Qualifikation. Der RIB Code of Conduct beschreibt dabei unsere wichtigsten Prinzipien in puncto Nationalität, ethnischer Herkunft, Religion, …

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National Association of Women in Construction