Senior Product Manager
If you have a strong interest in machine learning, data science, and open-source communities, we invite you to join Probabl and help us drive innovation in the industry!
Job purpose
The Product Manager at Probabl will play a crucial role in shaping and executing our product strategy, working closely with the CTO and the engineering team. This position requires a strong understanding of machine learning, data science, open-source communities, and product-driven methodologies. The Product Manager will collaborate with cross-functional teams to ensure our products meet high standards of quality and innovation, contributing to the company's goal of achieving product-market fit.
Key Responsibilities
- Product Strategy: Contribute to the development and communication of product strategy aligned with company goals and market needs.
- Feature Development: Manage the product backlog, prioritize features, and work with engineering to deliver high-quality products.
- Machine Learning & Data Science Application: Apply knowledge of machine learning and data science to guide feature development and product enhancements.
- Open Source Community Engagement: Participate in and support open-source communities to drive collaboration and adoption of our projects.
- Product Lifecycle Management: Oversee product development from ideation to launch for assigned areas, ensuring timely delivery and alignment with market demands.
- Cross-functional Collaboration: Work closely with engineering, marketing, sales, and customer support teams to ensure cohesive product development and go-to-market strategies.
- User Advocacy: Gather and analyze user feedback, ensuring it informs product decisions and improvements.
- Market Research: Conduct market analysis to stay informed about industry trends, competitor products, and emerging technologies.
Qualifications
- Educational Background: Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field.
- Experience: 5+ years of experience in product management, preferably in machine learning or data science products.
- Technical Knowledge: Strong understanding of machine learning and data science concepts, with experience in the development and deployment of ML models.
- Community Engagement: Familiarity with open-source communities and practices.
- Product Management Skills: Proficiency in product management practices, including agile methodologies, user research, and roadmap planning. Knowledge of WSJF or equivalent prioritization frameworks is a plus.
- Communication: Excellent communication and interpersonal skills, with the ability to work effectively in a team environment.
- Analytical Thinking: Strong analytical and problem-solving skills with a data-driven approach to decision-making.
Working Conditions
- Location: Paris
- Presence: Hybrid
- Team: Product & Engineering
- Supervisor: CTO
Why Join Probabl?
- Innovative Environment: Be part of a company that is at the forefront of machine learning and data science innovation.
- Open Source Commitment: Contribute to and benefit from a thriving open-source community.
- Growth Opportunities: Take on an important role in shaping our product offerings and contributing to company growth.
- Collaborative Culture: Work with a diverse and talented team dedicated to excellence and innovation.
- Location: Join our mostly Paris-based product team, contributing to a dynamic European tech hub.
If you are a passionate product manager with a strong interest in machine learning, data science, and open-source communities, we invite you to join Probabl and help us drive innovation in the industry.
- Department
- Product & Engineering
- Locations
- Paris / Montparnasse - Office, Saclay / Palaiseau - Office
- Remote status
- Hybrid
- Open to freelancing
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About Probabl
We develop, maintain at the state of art, and sustain a complete suite of open source tools for data science.
For more info, check probabl.ai
Senior Product Manager
If you have a strong interest in machine learning, data science, and open-source communities, we invite you to join Probabl and help us drive innovation in the industry!
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