Docebo is hiring a
AI Product Manager, Remote - Italy

Summary

The job is for an AI Product Manager role in a B2B SaaS company. The role involves overseeing products, working on the product roadmap, assisting the product team, collaborating with internal teams and external partners, defining data strategies for machine learning projects, and more. The position requires 3+ years of experience as a Product Manager in a B2B SaaS company, knowledge and experience with Agile/Scrum, excellent analytical and problem-solving skills, and full English communication proficiency.

Requirements

• 3+ Years of experience as a Product Manager in a B2B SaaS company
• Curious and proactive in learning about emerging technologies and their potential applications
• Stay up-to-date with the latest trends in virtual coaching and generative AI, integrating relevant innovations into our product strategy
• Strong interest and knowledge in generative AI and its applications in product development
• Confidence to influence, communicate and build relationships with key stakeholders
• Comfortable working with global, distributed teams (Product Management & Engineering primarily in EMEA)
• Knowledge and experience working with different variations of Agile/Scrum
• Ability to operate at various “levels” – strategy vs. execution, problem vs. solution
• Excellent prioritization and communication skills to deliver the right things on time
• Exceptional analytical and problem-solving skills in a technical domain
• Ability to communicate complex technical concepts to non-technical audiences
• Ability to manage upwards, influencing senior leaders in the organization
• Ability to review processes and drive change through continuous improvement
• Full written and verbal English communication proficiency

Responsibilities

• Oversee various products, and product lines
• Work on the product roadmap based on the product lifecycle
• Assist the product team in the development, creation, and management of new products to ensure that they become successful products
• Help the product owner and development team in the product development process by doing relevant data analysis
• Collaborate with internal teams and external partners to work on delivering various AI/ML solutions to meet customer needs
• Identify the right use cases for machine learning, including business cases
• Decide on the product feature tradeoffs based on the user experience data
• Evaluate what metrics need to be tracked to improve machine learning models
• Identify new business opportunities that can utilize AI/ML technology to drive profitability
• Work closely with the engineering teams and product leaders to ensure everything is being developed and managed accordingly