Product Manager, Machine Learning

Meta; Seattle (WA); On-site; USD 173,000 - 241,000; Full time

Job summary

Meta seeks an experienced Product Manager with Machine Learning expertise to lead end-to-end product initiatives across the company. You will drive vision, define requirements, coordinate across design, engineering, legal and analytics, and align roadmaps with Meta's strategic goals.

You will combine data analysis, market research, and customer insights to deliver scalable ML-enabled products. Strong leadership and communication are essential to navigate fast-changing priorities and deliver

Qualifications

• 8+ years product management with ML domain expertise.
• Bachelor's degree in CS, Engineering, IS, Analytics, Mathematics, Physics, or related field and 2+ years cross-functional experience.
• Experience delivering technical presentations.
• Experience analyzing large-scale data sets and making data-based decisions.
• Experience gathering requirements across broad areas and turning them into a product solution.
• Demonstrated leadership, organizational and execution skills.
• Proven communication skills.

Responsibilities

• Lead and drive product vision, strategies and roadmaps aligned with organizational goals.
• Identify significant opportunities and act as primary driver for product initiatives.
• Incorporate data, research and market analysis to inform strategies and roadmaps.
• Motivate and manage a cross-functional team of engineers and other stakeholders.

Skills

Leadership

Execution

Data-driven decisions

Communication

Cross-functional collaboration

Education

Bachelor's degree in CS/Engineering/IS/Analytics/Math/Physics or related field

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 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.
• 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

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.

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, 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 [e-mail].

$173,000/year to $241,000/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.