AI PRODUCT MANAGER

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.
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