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Product Manager, Machine Learning

Product Manager, Machine Learning

Meta PlatformsMenlo Park, CA, US
30+ days ago
Job type
  • Full-time
Job description

Product Manager, Machine Learning

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.

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 broad areas and users, and converting and developing them into a product solution

Displaying leadership, organizational and execution skills

Proven communication skills

Preferred Qualifications :

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.

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 todaybeyond the constraints of screens, the limits of distance, and even the rules of physics.

Compensation :

$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 benefits at Meta.

Equal Employment Opportunity :

Meta is proud to be an Equal Employment Opportunity 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.

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Machine Learning • Menlo Park, CA, US

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