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

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

• 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 iRev, metrics to measure guidance impact, and OS impact
• Stakeholder Engagement: Engage with internal stakeholders, including the iRev 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