Product Manager, Central Product
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Product Manager, Central Product
Anzeige auf Englisch
ArbeitsortGeldern und Umgebung
Gehalt65.000–85.000 € brutto/Jahr
HomeofficeKeine Angabe
Summary:
Meta Product Managers work with cross-functional teams of engineers, designers, data scientists and researchers to build products. We are looking for Product Managers who value moving quickly and demonstrate AI-native product development practices.
Required Skills:
Product Manager, Central Product Responsibilities:
- Responsible for leading a product area
- defining success metrics, prioritizing product problems and identifying the best strategies for the product, aligned with the organizational goals.
- Adapt and adjust your strategy to reflect learnings and changes in the product.
- Critically evaluate when AI is (and isn't) the right solution for user problems, with clear articulation of tradeoffs and risks.
- Translate AI capabilities into compelling product visions grounded in real user value.
- Develop AI-native strategies including evals strategy and data strategy that enable iteration and measurable quality improvements.
- Leverage AI for identifying opportunities through deep market research, user feedback synthesis, and competitive analysis.
- Work with a cross-functional team to define a product, develop a roadmap and drive progress against goals and milestones and resolve challenges and blockers, while maintaining team health.
- Reimagine workflows, responsibly using AI tools to increase personal and team velocity (e.g., faster synthesis, clearer decision docs, tighter iteration loops).
- Foster a culture of rapid experimentation and learning, especially around AI-powered product development.
- Scale AI best practices (including responsible AI use) and proficiency across product teams to multiply impact.
- Provide mentorship and coaching to other Product Managers and cross-functional team members on AI-native practices.
- Coordinate proactively across partner functions for product success.
- Structure shared roadmaps for best outcomes.
- Orchestrate complex execution across multiple workstreams by combining AI automation with appropriate human oversight.
- Communicate product strategy and progress with clarity to all stakeholders.
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