Senior Product Owner – Agentic AI
15 ore fa
Roma, Lazio, Italia
Jobtailor
Tempo pieno
90.000 € - 130.000 € Contratto
Gratuito con email o Google
Salva questo lavoro e mantieni la tua ricerca organizzata
Crea un account gratuito per salvare lavori, creare avvisi e tornare a questa inserzione dalla tua dashboard.
Gratuito con email o Google
Own the product vision, roadmap, and backlog for Agentic AI and Generative AI solutions
Si assicuri di leggere l'intera descrizione riportata di seguito e di candidarsi immediatamente se è sicuro/a di soddisfare tutti i requisiti.
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. xbvzest 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
Si assicuri di leggere l'intera descrizione riportata di seguito e di candidarsi immediatamente se è sicuro/a di soddisfare tutti i requisiti.
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. xbvzest 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