Product Manager,Machine Learning Job Sunnyvale area,California USA,Software Development

Summary

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.

Required Skills

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 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.

Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

Public Compensation

$173,000/year to $241,000/year + bonus + equity + benefits

Industry

Internet

Equal Opportunity

Meta is proud to be an Equal Employment Opportunity and Aff… We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.

Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at

#J-18808-Ljbffr