Product Manager, Machine Learning

Meta; Redmond; On-site; AUD 249,000 - 347,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

Meta Product Managers work with cross-functional teams of engineers, designers, data scientists and researchers to build products. We are looking for entrepreneurial Product Managers with Machine Learning expertise who move quickly and drive innovative initiatives across the company.

Responsibilities include leading a team, driving product vision and roadmaps, and leveraging data and market analysis. Preferred candidates have ML experience and a track record across full product lifecycles.

Qualifications

• 8+ years product management or related industry experience with ML domain expertise.
• Bachelor's degree in CS/Engineering/Analytics or related field plus 2+ years in cross-functional product work.
• Experience delivering technical presentations.
• Experience analyzing large-scale data sets to inform decisions.
• Experience gathering requirements across broad areas and turning them into product solutions.

Responsibilities

• Lead product vision, strategies and roadmaps aligned with organizational goals.
• Incorporate data, research and market analysis to inform strategies.
• Motivate and lead engineers and cross-functional teams; maintain team health.
• Understand strategic and competitive position; deliver industry-leading products.
• Drive efficient execution in dynamic environments with creative solutions.

Skills

Machine Learning

Leadership

Product Management

Data Analysis

Communication

Cross-functional Collaboration

Presentation Skills

Education

Bachelor's degree in Computer Science, Engineering, Analytics 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.
• 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

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 Afformative 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
• In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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.