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Benefits & Perks
•Wellness benefits
•Learning and development stipend
•Annual team offsites
•Flexible PTO policy
Required Skills
Python
Airflow
TensorFlow
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.
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 Whats App 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 accommodations-ext@meta.com.
$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.
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About Meta

Meta
PublicA social technology company that enables people to connect, find communities, and grow businesses.
10,001+
Employees
Menlo Park
Headquarters
$800B
Valuation
Reviews
3.4
26 reviews
Work Life Balance
2.3
Compensation
4.2
Culture
2.8
Career
3.1
Management
2.1
45%
Recommend to a Friend
Pros
Excellent compensation and benefits
Smart and talented colleagues
Fast-paced and challenging work environment
Cons
Frequent layoffs and job insecurity
Poor leadership and management accountability
High stress and competitive work environment
Salary Ranges
40,175 data points
Mid/L4
Mid/L4 · Data Scientist
3,113 reports
$284,667
total / year
Base
$179,458
Stock
$79,981
Bonus
$25,228
$193,897
$434,902
Interview Experience
6 interviews
Difficulty
4.2
/ 5
Duration
21-35 weeks
Offer Rate
17%
Experience
Positive 17%
Neutral 17%
Negative 66%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Coding Interviews
6
System Design Interview
7
Behavioral Interview
8
Final Loop/Hiring Manager Round
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Live Coding
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