Product Manager - Advertiser Guidance

Job Description

About the Role

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; and Metric development for Guidance and Opportunity Score impact on advertisers and Meta.

Key Responsibilities

Lead the development and implementation of Opportunity score as a metric supporting Sales and Advertiser use cases
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, ensuring OS metric and pipeline stability, robustness and long term relationship to revenue and performance
Work closely with engineering, data science, design, and marketing teams to ensure seamless product delivery and alignment with strategic goals
Develop and refine metrics to measure different guidance impact on Advertisers and to measure OS impact, including partnering with the DS team to develop and analyze proxy metrics for iRev, guidance impact, and OS impact
Engage with internal stakeholders, including the iRev committee, to align on strategic goals and ensure product initiatives meet business needs
Drive continuous improvement in product processes and methodologies, leveraging data-driven insights to enhance product performance and user experience

Requirements

10+ years of experience in product management, with a focus on strategic product development and cross-functional leadership
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
Expertise in bidding, ranking, creative and targeting within advertising technology
Proficiency in ML model development, tuning, and training
Masters degree in Business, Computer Science, or a related field