- Own the product vision, roadmap, and backlog for Agentic AI and Generative AI solutions
- Translate business requirements into product features, user stories, acceptance criteria, and delivery priorities
- Lead products from initial discovery and MVP definition through development, deployment, and continuous improvement
- Collaborate with clients, business stakeholders, architects, AI engineers, software developers, and data teams
- Apply knowledge of LLMs, RAG architectures, AI agents, orchestration frameworks, evaluation methods, guardrails, and human-in-the-loop patterns when defining product capabilities
- Define and monitor product success metrics covering business value, adoption, quality, reliability, cost, and AI performance
- Ensure products adhere to Responsible AI principles, governance standards, security requirements, privacy regulations, and compliance policies
- Facilitate stakeholder workshops and help clients identify opportunities to leverage AI for business transformation
- Support business development activities, solution shaping, and proposition development within the AI practice
- Stay current with Generative AI, Agentic AI, and cloud technology advancements and apply relevant innovations to product strategy and delivery
Requirements
- Degree in Computer Science, Information Systems, Engineering, Business, Data Science, or a related discipline, or equivalent professional experience
- Significant experience as a Product Owner, Product Manager, Technical Product Manager, or similar role delivering technology products
- Proven experience developing and delivering Generative AI and/or Agentic AI solutions
- Strong understanding of LLM technologies and architectures, including RAG, embeddings, AI agents, tool calling, prompt engineering, evaluation frameworks, and guardrails
- Experience with Agile delivery methodologies and product backlog management
- Knowledge of APIs, cloud architectures, enterprise integrations, and modern software delivery practices
- Experience with cloud and AI platforms such as Azure, AWS, or Google Cloud Platform
- Strong stakeholder management, communication, and presentation skills, with the ability to engage both technical and business audiences
- Experience working in a client-facing consulting environment is desirable
- Passion for innovation and a strong interest in AI-enabled business transformation
Core Competencies
Demonstrates expertise in product management for AI solutions, including Generative AI and Agentic AI, with a strong focus on stakeholder collaboration, product vision, and adherence to Responsible AI principles.
Highest-signal resume keywords
- Product Management
- Generative AI Solutions
- LLM Technologies
- Agile Delivery Methodologies
- Stakeholder Management
ATS Optimization Keywords
Hard Skills
- Product Vision
- Roadmap Development
- User Story Creation
- Acceptance Criteria Definition
- Product Success Metrics
- AI Performance Evaluation
- Backlog Management
- Prompt Engineering
- Enterprise Integration
- Cloud Architecture
Soft Skills
- Communication Skills
- Presentation Skills
- Stakeholder Engagement
- Collaboration
Industry Keywords
- Responsible AI Principles
- Governance Standards
- Privacy Regulations
- Business Transformation
- Client-Facing Consulting
Tools & Technologies
- Azure
- AWS
- Google Cloud Platform
- APIs
- Orchestration Frameworks
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Senior Product Owner – Agentic AI in Frankfurt am Main Arbeitgeber: Jobtailor
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