Product Manager, Machine Learning
Job Summary
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.Product Manager, Machine Learning ResponsibilitiesDisplay 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.
Must have:
- 8+ years product management or related industry experience with domain specific expertise in Machine Learning
- Bachelor's degree in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field
- 2+ years 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 diverse areas and users, and converting and developing them into a product solution
- Displaying leadership, organizational and execution skills
- Proven communication skills
Good to have:
- Experience defining vision and strategy for a product.
- Experience going through a full product lifecycle, integrating customer feedback into product requirements, driving prioritization and pre/post-launch execution.
- Experience with leveraging ML/AI to build large scale consumer products.
- 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.
3 skills required
Job Details
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.
Product Manager, Machine Learning 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.
Minimum 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 diverse areas and users, and converting and developing them into a product solution
- Displaying leadership, organizational and execution skills
- Proven communication skills
Preferred Qualifications
- Experience defining vision and strategy for a product.
- Experience going through a full product lifecycle, integrating customer feedback into product requirements, driving prioritization and pre/post-launch execution.
- Experience with leveraging ML/AI to build large scale consumer products.
- 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.
For those who live in or expect to work from California if hired for this position, please click for additional information.
Locations
Data Center
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
$171,000/year to $238,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about at Meta.
Equal Employment Opportunity and Affirmative Action
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice .
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to .
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About The Company
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
We want to give people the power to build community and bring the world closer together. To do that, we ask that you help create a safe and respectful online space. These community values encourage constructive conversations on this page:
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