Senior Product Owner – Agentic AI

Jobtailor

Roma

In loco

EUR 90.000 - 130.000

Tempo pieno

7 giorni fa
Candidati tra i primi
Generatore di candidature

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Descrizione del lavoro

Jobtailor in Italy seeks a Product Owner/PM to own the vision, roadmap, and backlog for Agentic AI and Generative AI solutions. You will translate business needs into features, user stories, and acceptance criteria, and lead products from discovery through deployment.

Collaborate with clients, AI engineers, architects, and data teams; leverage LLMs, RAG, AI agents, and guardrails to deliver measurable business value while upholding Responsible AI principles.

Competenze

  • The role requires a degree or equivalent professional experience in a relevant field.
  • Significant experience as Product Owner / Product Manager / Technical Product Manager delivering technology products.
  • Proven experience with Generative AI and Agentic AI solutions.
  • Strong understanding of LLMs, RAG, embeddings, AI agents, tooling, prompt engineering, evaluation, and guardrails.
  • Experience with Agile delivery and product backlog management.
  • Knowledge of APIs, cloud architectures, and enterprise integrations.
  • Experience with Azure, AWS, or Google Cloud Platform.
  • Excellent stakeholder management, communication, and presentation skills.
  • Client-facing consulting experience is desirable.

Mansioni

  • Own the product vision, roadmap, and backlog for AI solutions.
  • Translate business requirements into features, user stories, and acceptance criteria.
  • Lead products from discovery and MVP definition through development and deployment.
  • Collaborate with clients, architects, AI engineers, developers, and data teams.
  • Apply knowledge of LLMs, RAG architectures, AI agents, and guardrails.
  • Define and monitor product success metrics covering business value and AI performance.
  • Ensure adherence to Responsible AI principles, governance, security, and privacy.
  • Facilitate stakeholder workshops and identify AI-enabled transformation opportunities.
  • Support business development and proposition development within the AI practice.
  • Stay current with Generative AI and cloud technology advancements.

Conoscenze

Product Vision
Roadmap Development
User Story Creation
Acceptance Criteria Definition
MVP Definition
AI Performance Metrics
APIs
Cloud Architectures
Prompt Engineering
Evaluation Frameworks
LLM Technologies
RAG
Agile Methodologies
Stakeholder Management
Communication Skills
Presentation Skills
Client-Facing Consulting

Formazione

Degree in Computer Science, Information Systems, Engineering, Business, Data Science, or related discipline

Strumenti

Azure
AWS
Google Cloud Platform
Orchestration Frameworks
Human-in-the-Loop Patterns

Descrizione del lavoro

  • 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 knowledge of LLMs, RAG architectures, AI agents, orchestration frameworks, evaluation methods, guardrails, and human-in-the-loop patterns
  • Define and monitor product success metrics covering business value, adoption, quality, reliability, cost, and AI performance
  • Ensure adherence to Responsible AI principles, governance standards, security requirements, privacy regulations, and compliance policies
  • Facilitate stakeholder workshops and identify opportunities to leverage AI for business transformation
  • Support business development, 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 Azure, AWS, or Google Cloud Platform
  • Strong stakeholder management, communication, and presentation skills
  • Experience engaging technical and business audiences
  • Experience working in a client-facing consulting environment is desirable
  • Passion for innovation and 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. Proficient in Agile methodologies and capable of translating business requirements into actionable product features and success metrics.

Highest-signal resume keywords
  • Product Management
  • Generative AI Solutions
  • LLM Technologies
  • Agile Methodologies
  • Stakeholder Management
Hard Skills
  • Product Vision
  • Roadmap Development
  • User Story Creation
  • Acceptance Criteria Definition
  • MVP Definition
  • AI Performance Metrics
  • APIs
  • Cloud Architectures
  • Prompt Engineering
  • Evaluation Frameworks
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
  • Orchestration Frameworks
  • Human-in-the-Loop Patterns
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Health insurance
Meal vouchers for office workdays
Dynamic work environment
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