AI Product Manager
Remote Italy
Docebo
Docebo's learning platform enables you to drive engagement, productivity, and connections with your customers, partners, and employees.
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 IntelligenceLocation: Biassono or Milan, Italy (Hybrid) - Or Italy Remote
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 IntelligenceLocation: 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.
- 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.
- 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.
Product Engineering
Virtual Coaching
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Job stats:
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Categories:
Deep Learning Jobs
Leadership Jobs
Product Jobs
Tags: Agile Data analysis Deep Learning Engineering Generative AI Machine Learning Mathematics ML models Scrum Statistics
Perks/benefits: Career development
Regions:
Remote/Anywhere
Europe
Country:
Italy
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