채용
Benefits & Perks
•Generous vacation
•Comprehensive benefits
•Flexible work
•Stock options or RSUs
Required Skills
Mixpanel
Amplitude
Confluence
We are seeking a highly experienced Product Manager with over 10 years of experience to lead and drive Opportunity score(recently launched to General Availability) model development and Guidance Ranking as part of a key monetization priority.
This role will focus on defining and leading the following areas:
- Opportunity Score formulation and stability across all advertiser segments and surfaces they will interact with Meta advertising- Guidance ranking to ensure the most relevant and impactful guidance is shown at the right time.
- Guidance measurement, experimentation framework and lifecycle management ensuring long term value to advertisers .
- Metric development for Guidance and Opportunity Score impact on advertisers and Meta
Product Manager
Advertiser Guidance Responsibilities:
- Strategic Leadership: Lead the development and implementation of Opportunity score as a metric supporting Sales and Advertiser use cases
- Product Development: Manage the end-to-end product lifecycle for guidance ranking and OS score from ideation to launch. Focusing on guidance experimentation methodologies and post adoption impact, how guidances are incorporated into OS models, ensuring OS metric and pipeline stability, robustness and long term relationship to revenue and performance
- Cross-Functional Collaboration: Work closely with engineering, data science, design, and marketing teams to ensure seamless product delivery and alignment with strategic goals
- Metrics and Analysis: Develop and refine metrics to measure different guidance impact on Advertisers and to measure OS impact. This will include partnering with the DS team to develop and analyze proxy metrics for i Rev, metrics to measure guidance impact, and OS impact
- Stakeholder Engagement: Engage with internal stakeholders, including the i Rev committee, to align on strategic goals and ensure product initiatives meet business needs
- Innovation and Improvement: Drive continuous improvement in product processes and methodologies, leveraging data-driven insights to enhance product performance and user experience
Minimum Qualifications:
- Experience: 10+ years of experience in product management, with a focus on strategic product development and cross-functional leadership
- Education: Bachelor's degree in Business, Computer Science, or a related field
- Demonstrated experience in strategic thinking and problem-solving skills
- Proven track record of great communication and collaboration
- Proven track record of managing complex projects and driving cross-functional teams
- Familiarity with experimentation frameworks and metrics development
Preferred Qualifications:
- Advertising Skills: Expertise in bidding, ranking, Creative and targeting within advertising technology
- Machine Learning Skills: Proficiency in ML model development, tuning, and training
- Masters degree in Business, Computer Science, or a related field
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.
$205,000/year to $277,000/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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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%
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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 · Product Manager
1,253 reports
$369,821
total / year
Base
$212,277
Stock
$120,483
Bonus
$37,061
$250,214
$571,998
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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