Product Manager, Core Ads Quality

About the Role

The Core Ads Quality team at Meta is dedicated to ensuring that advertisements across our platforms maintain high quality and provide a positive user experience. Handling billions of consumers and millions of businesses demands sophisticated machine learning systems that operate at massive scale. We seek a seasoned product leader comfortable both with the technical intricacies of model calibration and managing cross-organizational projects involving multiple stakeholders and tight deadlines. This role supports highly technical teams by defining goals and leading execution efforts across departments.

Key Responsibilities

• Lead a multifaceted product domain, setting success criteria, prioritizing challenges, and formulating optimal strategies informed by broader organizational and company-wide contexts.
• Adapt plans dynamically in response to new insights and evolving circumstances.
• Leverage deep industry and customer insights to pinpoint new investment opportunities, coordinating across functions to bring ideas to fruition.
• Independently champion consensus-building on prioritizing major opportunities, determining when to initiate or cease investments.
• Collaborate closely with technical leadership to design scalable solutions addressing core issues within AI and ranking technologies.
• Utilize internal data, user research, and market studies to guide product direction and influence Meta’s broader product organization.
• Effectively navigate ambiguous and complex situations while fostering trust with partner teams.
• Communicate product strategies and progress with exceptional clarity to all stakeholders.
• Provide mentorship and coaching to grow other product managers and cross-functional team members.

Required Qualifications

• At least 10 years of relevant industry experience, including a minimum of 5 years in product management roles.
• Bachelor’s degree or equivalent in any field; degrees in STEM disciplines such as Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, or Applied Sciences are preferred.
• Over 3 years of prior experience as a product manager in ad technology or developing ad delivery or personalization systems within media or related sectors.
• In-depth understanding of auction systems with 3+ years of experience building or significantly enhancing auction-based products.
• Proven ownership of product strategy relating to fundamental machine learning products, including influencing technical direction and modeling choices, with comprehensive knowledge of the ML development lifecycle.
• Experience leading technical discussions on system architecture, model performance, and infrastructure trade-offs to facilitate informed decisions.
• Track record of partnering with AI research teams to implement cutting-edge techniques that enhance ad relevance and effectiveness.
• Ability to lead cross-functional teams across an entire product line, encompassing mission and strategy definition, requirement setting, resource coordination (including marketing and legal), and achievement of critical milestones.
• Demonstrated skill in clearly communicating complex and technical topics to diverse audiences such as senior executives, technical collaborators, and customers.
• Examples of leadership in mentoring and supporting colleagues, sharing knowledge across teams and partners.
• Proven capacity to significantly improve product performance and the efficiency of the teams delivering those products.
• Expertise analyzing large, complex datasets to drive data-informed product decisions.

Preferred Qualifications

• Experience implementing responsible and ethical AI practices like risk assessments, bias mitigation, and quality assurance.
• Continuous development of AI skills including prompt/context engineering and agent orchestration, keeping current with emerging AI technologies.
• History of leveraging AI tools to redesign workflows resulting in measurable improvements such as enhanced efficiency and quality.
• Prior product management experience specifically in adTech enterprises.
• Proven record in technical discussions regarding system design and infrastructure decisions.

About Meta

Meta pioneers technologies that connect people, foster communities, and promote business growth. Starting in 2004 with Facebook, and expanding to apps like Messenger, Instagram, and WhatsApp, Meta has transformed digital interactions globally. The company is now venturing beyond traditional screens towards immersive augmented and virtual reality experiences to redefine social technology’s future. By joining Meta, you contribute to this evolution and help shape connections without limits of screens, distance, or conventional physics.

Compensation & Benefits

Individual pay is based on skills, qualifications, experience, and location and reflects base salary only, excluding bonuses, equity, or sales incentives. Meta provides additional benefits to complement the compensation package.