Product Manager, Machine Learning @ Meta
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Job Details
Role Overview
The Product Manager, Machine Learning at Meta will develop and execute strategies to enhance ad supply personalization on the FB App. You will lead innovative approaches to predict user engagement and optimize ad value, significantly boosting the efficiency and accuracy of the ad supply system.
Key Responsibilities
- Plan, initiate, and manage IT projects for web-based products and platforms.
- Lead the ideation, technical development, and launch of innovative tools.
- Drive product development with world-class engineers and designers.
- Collaborate with cross-functional teams (design, legal, etc.) to guide milestones.
- Integrate usability studies, research, and market analysis into product solutions.
- Define and analyze key performance metrics to measure product success.
- Align products with Meta's mission and industry best practices.
- Maximize efficiency with creative solutions in a fluid environment.
Minimum Qualifications
- 5+ years in product management or related experience.
- Experience in machine learning based personalization, ranking, or ad-tech.
- Bachelor's degree in technical or analytical fields.
- Technical and analytical expertise with large-scale data sets.
- Proven leadership, organizational, and communication skills.
About Meta
Meta builds technologies that help people connect, build communities, and grow businesses. Known for Facebook, Messenger, Instagram, and WhatsApp, Meta is also pioneering augmented and virtual reality. Meta is an Equal Employment Opportunity employer and participates in the E-Verify program where required. Reasonable accommodations are provided for candidates with disabilities.
Compensation & Benefits
Base salary ranges from $142,000/year to $201,000/year plus bonus, equity, and benefits. Individual compensation is determined by skills, qualifications, experience, and location.
Key skills/competency
- Product Management
- Machine Learning
- Ad Technology
- Personalization
- Data Analysis
- Cross-functional Collaboration
- Technical Leadership
- Market Research
- Strategy
- Innovation
How to Get Hired at Meta
🎯 Tips for Getting Hired
- Customize your resume: Highlight ML and product experience.
- Research Meta: Understand their mission and product vision.
- Prepare case studies: Showcase your data and tech projects.
- Network smartly: Connect with current Meta employees on LinkedIn.