Meta
Product Manager, Core Ads Quality
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Job Title
The Core Ads Quality team helps to ensure that the ads people see on our platforms are of high quality and that their experiences are positive. With billions of consumers and millions of businesses using our platforms to connect, making sure that each and every connection is of high quality requires complex machine learning to operate at a huge scale. We are looking for an experienced product leader who is equally comfortable diving into model calibration as they are managing cross-org projects with stakeholders and tight timelines. This role will support deeply technical teams, defining goals and driving execution across teams.
Responsibilities
- Responsible for leading and driving a complex product area; defining success, prioritizing problems and identifying the best strategies, considering wider organizational and company context. Adapt and adjust your strategies to reflect learnings and changes in context
- Use your industry and customer understanding to identify new areas for investment and align across departments and functions to bring your ideas to production
- Independently identify and drive consensus for how to prioritize and realize the most significant opportunities in your product area. Identify when to stop as well as when to start investment
- Understand the technical space (AI & ranking), and partner with the technical lead to develop solutions that solve fundamental problems at scale
- Gather and analyze internal data, user research and market analysis to inform product decisions and influence the wider product organization
- Navigate highly ambiguous, complex situations with grace, and build trust with our partner teams
- Communicate product strategy and progress with radical clarity to all stakeholders
- Support the growth of other PMs and cross-functional team members by providing mentorship and coaching
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Minimum Qualifications
- 10+ years of relevant industry experience with at least 5+ years in Product Management
- Bachelor's degree (or relevant degree equivalent): A STEM subject is ideal, but not essential (Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences)
- Previous industry experience (3 years+) as a product manager in an adTech business or building ad delivery or personalization systems in media or similar businesses
- Detailed understanding of auction dynamics demonstrated through previous experience (3+ years) building or significantly developing auction based systems
- Experience owning product strategy for fundamental ML products, proven ability to contribute to technical direction and modelling decisions. Deep understanding of the ML development cycle
- Experience contributing to and driving technical discussions on system design, model performance, or infrastructure trade-offs to support informed decision-making
- Demonstrated ability to partner with AI research teams and bring state of the art techniques to traditional ads problems, improving accuracy and effectiveness
- Experience leading cross-functional product teams across a full product line: Crafting product mission and strategy, defining product requirements, coordinating resources from other groups (marketing, legal, etc.), and driving the team to achieve key milestones and goals
- Demonstrated ability to effectively communicate very complex and technical work, bringing extreme clarity, to a broad audience including senior management, technical partner teams and customers
- Specific examples of thought leadership and developing others through mentorship, support and knowledge sharing across the wider team and cross-functional partners
- Proven ability to drive a step change in the performance of a product and the effectiveness of the team that delivers that product
- Experience analyzing large-scale, complex data sets and using data to inform product decisions
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Preferred Qualifications
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- Product Management experience within an adTech business
- Experience contributing to and driving technical discussions on system design, model performance, or infrastructure trade-offs to support informed decision-making
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