Senior Product Owner – Agentic AI

Jobtailor; Utrecht; On-site; EUR 85,000 - 120,000; Full time

Job summary

Jobtailor is seeking a Product Owner/Manager to own the product vision for Agentic AI and Generative AI solutions, translating business requirements into features, user stories, and delivery priorities. You will lead products from discovery through deployment, collaborating with clients, stakeholders, architects, AI engineers, software developers and data teams.

You will apply LLM, RAG, AI agents and related techniques, define metrics for value, adoption, quality, and cost, ensure Responsible AI

Qualifications

• Degree in Computer Science, Information Systems, Engineering, Business, Data Science, or related discipline, or equivalent experience
• Significant experience as Product Owner/Manager delivering technology products
• Proven experience with Generative AI/Agentic AI solutions
• Strong understanding of LLM tech including RAG, embeddings, tools, prompt engineering
• Experience with Agile delivery and backlog management
• Knowledge of APIs, cloud architectures, enterprise integrations, modern software delivery
• Experience with Azure, AWS, or Google Cloud Platform
• Strong stakeholder management and communication skills
• Client-facing consulting experience is desirable
• Passion for AI-enabled business transformation

Responsibilities

• Own the product vision, roadmap, and backlog for Agentic AI and Generative AI solutions
• Translate business requirements into features, user stories, and acceptance criteria
• Lead products from discovery through development, deployment, and continuous improvement
• Collaborate with clients, stakeholders, architects, AI engineers, software developers, and data teams
• Apply LLM, RAG, AI agents, orchestration, evaluation, guardrails, and human-in-the-loop knowledge to product capabilities
• Define and monitor metrics for business value, adoption, quality, reliability, cost, and AI performance
• Ensure adherence to Responsible AI, governance, security, privacy, and compliance requirements
• Facilitate stakeholder workshops and identify AI business-transformation opportunities
• Support business development, solution shaping, and proposition development within the AI practice
• Track Generative AI, Agentic AI, and cloud advancements and apply innovations to product strategy and delivery

Skills

Product Management

Generative AI

LLM Technologies

Agile Delivery

Stakeholder Management

Education

Degree in CS/IS/Engineering/Business/Data Science

Tools

Azure

AWS

GCP

Job description

• 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 discovery and MVP definition through development, deployment, and continuous improvement
• Collaborate with clients, business stakeholders, architects, AI engineers, software developers, and data teams
• Apply LLM, RAG, AI agent, orchestration, evaluation, guardrail, and human-in-the-loop knowledge to product capabilities
• Define and monitor metrics for business value, adoption, quality, reliability, cost, and AI performance
• Ensure adherence to Responsible AI, governance, security, privacy, and compliance requirements
• Facilitate stakeholder workshops and identify AI business-transformation opportunities
• Support business development, solution shaping, and proposition development within the AI practice
• Track Generative AI, Agentic AI, and cloud advancements and apply 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 Azure, AWS, or Google Cloud Platform
• Strong stakeholder management, communication, and presentation skills, engaging technical and business audiences
• Client-facing consulting experience is desirable
• Passion for innovation and interest in AI-enabled business transformation

Core Competencies

Demonstrates expertise in product management for AI solutions, with a strong focus on Generative AI and Agentic AI technologies. Capable of translating business needs into actionable product features while ensuring compliance with Responsible AI standards.

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
• Metrics Monitoring
• AI Performance Evaluation
• APIs
• Cloud Architecture
• Prompt Engineering
• Enterprise Integration

Soft Skills

• Communication Skills
• Presentation Skills
• Stakeholder Engagement
• Client-Facing Consulting

Industry Keywords

• Responsible AI
• Governance
• Security
• Privacy
• Business Transformation

Tools & Technologies

• Azure
• AWS
• Google Cloud Platform