Product Manager, Machine Learning
Meta
Product Manager, Machine Learning
Job Description
Meta Product Managers work with cross-functional teams of engineers, designers, data scientists and researchers to build products. We are looking for extremely entrepreneurial Product Managers with Machine Learning expertise who value moving quickly, and can help innovate and coherently drive product initiatives across the company.
Locations
- Remote, US, USA (Remote)
- Bellevue, WA, USA
- Menlo Park, CA, USA
- Seattle, WA, USA
- Burlingame, CA, USA
- New York, NY, USA
- San Francisco, CA, USA
Salary
Estimated Salary Rangemedium confidence
80,000,000 - 200,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- cross-functional collaborationintermediate
- entrepreneurial mindsetintermediate
- machine learning expertiseintermediate
- agile developmentintermediate
- product innovationintermediate
- product managementintermediate
- strategic planningintermediate
Required Qualifications
- 8+ years product management or related industry experience with domain specific expertise in Machine Learning Requires a Bachelor's degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field and 2+ years of experience in the following: Experience working in a technical environment with a broad, cross functional team to drive product vision, define product requirements, coordinate resources from other groups (design, legal, etc.), and guide the team through key milestones Experience delivering technical presentations Experience in analyzing complex, large-scale data sets and making decisions based on data Experience in gathering requirements across broad areas and users, and converting and developing them into a product solution Displaying leadership, organizational and execution skills Proven communication skills Experience with leveraging ML/AI to build large scale consumer products. Experience going through a full product lifecycle, integrating customer feedback into product requirements, driving prioritization and pre/post-launch execution. Experience defining vision and strategy for a product. Experience recruiting and leading a cross-functional team of world-class individuals. Enthusiastic and resilient in a constantly evolving environment where the process is fluid and creative solutions are the norm. (experience, 8 years)
Responsibilities
- Display strong leadership, organizational and execution skills Is the primary driver for identifying significant opportunities, and driving product vision, strategies and roadmaps in the context of broader organizational strategies and goals Incorporate data, research and market analysis to inform product strategies and roadmaps Leads and motivates a team of engineers and other cross-functional representatives, and maintains team health Understand Facebook’s strategic and competitive position and deliver products that are aligned with our mission and recognized best in the industry Maximize efficiency in a constantly evolving environment where the process is fluid and creative solutions are the norm
Tags & Categories
Product Manager, Machine Learning
Meta
Product Manager, Machine Learning
Job Description
Meta Product Managers work with cross-functional teams of engineers, designers, data scientists and researchers to build products. We are looking for extremely entrepreneurial Product Managers with Machine Learning expertise who value moving quickly, and can help innovate and coherently drive product initiatives across the company.
Locations
- Remote, US, USA (Remote)
- Bellevue, WA, USA
- Menlo Park, CA, USA
- Seattle, WA, USA
- Burlingame, CA, USA
- New York, NY, USA
- San Francisco, CA, USA
Salary
Estimated Salary Rangemedium confidence
80,000,000 - 200,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- cross-functional collaborationintermediate
- entrepreneurial mindsetintermediate
- machine learning expertiseintermediate
- agile developmentintermediate
- product innovationintermediate
- product managementintermediate
- strategic planningintermediate
Required Qualifications
- 8+ years product management or related industry experience with domain specific expertise in Machine Learning Requires a Bachelor's degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field and 2+ years of experience in the following: Experience working in a technical environment with a broad, cross functional team to drive product vision, define product requirements, coordinate resources from other groups (design, legal, etc.), and guide the team through key milestones Experience delivering technical presentations Experience in analyzing complex, large-scale data sets and making decisions based on data Experience in gathering requirements across broad areas and users, and converting and developing them into a product solution Displaying leadership, organizational and execution skills Proven communication skills Experience with leveraging ML/AI to build large scale consumer products. Experience going through a full product lifecycle, integrating customer feedback into product requirements, driving prioritization and pre/post-launch execution. Experience defining vision and strategy for a product. Experience recruiting and leading a cross-functional team of world-class individuals. Enthusiastic and resilient in a constantly evolving environment where the process is fluid and creative solutions are the norm. (experience, 8 years)
Responsibilities
- Display strong leadership, organizational and execution skills Is the primary driver for identifying significant opportunities, and driving product vision, strategies and roadmaps in the context of broader organizational strategies and goals Incorporate data, research and market analysis to inform product strategies and roadmaps Leads and motivates a team of engineers and other cross-functional representatives, and maintains team health Understand Facebook’s strategic and competitive position and deliver products that are aligned with our mission and recognized best in the industry Maximize efficiency in a constantly evolving environment where the process is fluid and creative solutions are the norm
Tags & Categories