Technical Product Owner – AI Agents & Enterprise AI Platforms (f/m/x)

Das ist der Job

A scalable approach to enterprise knowledge + RAG (data sourcing, access control, guardrails, monitoring).

Darum lohnt es sich

Facilitate workshops and decision forums; communicate clearly to both technical and business teams as well as to senior decision-makers. Ability to translate business goals (e.g., cost reduction) into clear product increments and drive delivery with cross-functional teams.

Your Role Own product vision, roadmap, and adoption strategy for AI capabilities across global customer interaction processes. Deliver cost reduction by prioritizing and scaling (agentic) automation of service requests (from intake and triage to resolution and escalation).

Define the target operating model for enterprise AI capabilities (buy vs. build decisions, governance, platform strategy). Design scalable agent orchestration patterns: classification, routing, multi-channel orchestration, fallback handling, and human-in-the-loop escalation.

Establish robust approaches for RAG, prompting frameworks, evaluation, and quality measurement (accuracy, containment, safety, latency, cost). Partner closely with Engineering, Architecture, Security, Data and business stakeholders to move from pilots → production → scale.

What you’ll build (example outcomes) A repeatable service automation blueprint (intake → classify → route → resolve/escalate) that reduces manual effort and improves time-to-resolution. An enterprise-ready agent orchestration layer spanning channels like chat, voice, portal and CRM—integrated into Salesforce/Genesys landscapes.

A practical evaluation and rollout playbook with KPIs and governance, enabling global adoption without sacrificing security or reliability. Your Profile Strong experience as Technical Product Owner / Product Manager / Solution Lead in complex enterprise environments.

Solid understanding of LLM capabilities, model selection considerations, and AI solution patterns. Experience designing or product-owning agent-based interaction systems and orchestration logic (classification, routing, escalation, collaboration).

Strong enterprise architecture understanding: API-driven and event-driven landscapes, scalable solution design, security-by-design with focus on Salesforce and Azure environments. Excellent stakeholder management; confident workshop facilitation and structured decision-making.

Ability to monitor business impact of the solutions that you are responsible for in a data-driven methodology German at C1 level (spoken and written) is mandatory. Fluent English communication skills. Nice to have Experience with Salesforce (Agentforce), Genesys, or comparable CRM/contact-center ecosystems.

Familiarity with Azure AI Foundry, Azure OpenAI or similar enterprise AI platforms. Experience with AI governance, evaluation frameworks, and operational AI (monitoring, guardrails, incident handling). Experience rolling out products globally across regions, languages, and varying process maturity. #J-18808-Ljbffr