Ai Product Manager

2 settimane fa

Milano, Italia Nlp People A tempo pieno

AI, Product Manager needs a deep understanding of data science, mathematics, statistics, and other concepts like deep learning and artificial intelligence. Using their data science knowledge, he/she tends to make product management more efficient.
Employing and leveraging data science tools, machine learning models, and algorithms to automate product processes, he/she gets better evaluations and extrapolates crucial insights. Finally, understanding product management while also having a good idea of how machine learning fits into the equation.
Reports: VP of Artificial Intelligence
Location: Biassono or Milan, Italy (Hybrid) – Or Italy Remote
Responsibilities:
• Oversee various products, and product lines, and manage production
• 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.
Product Engineering
• Work closely with the engineering teams and product leaders to ensure everything is being developed and managed accordingly.
• Define data and annotation strategies for all machine learning projects.
• Take an active part in sprint planning, retrospective activities, and backlog review and prioritization.
• Monitor open bugs, missing data, output precision issues, and result incompleteness and inconsistency.
Virtual Coaching
• Oversee the development and enhancement of virtual coaching products.
• Identify and prioritize use cases for generative AI within the coaching context, creating compelling business cases.
• Explore new business opportunities that leverage generative AI to provide innovative coaching solutions.
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.
Nice to Have:
• Experience or a strong interest in virtual coaching or online learning platforms. Highlight their ability to understand and improve the coaching experience through technology.
• Emphasize the importance of curiosity and knowledge about generative AI. Candidates should be keen to explore and integrate new AI techniques into product development
Company:Docebo
Qualifications:Language requirements:Specific requirements:Educational level:Level of experience (years):Senior (5+ years of experience)
Tagged as: Data Analysis, Industry, Italy, Machine Learning, NLP

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