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About the Role
The Core Ads Quality team ensures ads on our platforms are high quality and provide positive user experiences. This role supports deeply technical teams, defining goals and driving execution across teams, requiring comfort with model calibration and managing cross-organizational projects with tight timelines.
Responsibilities
- Lead and drive a complex product area, defining success, prioritizing problems, and identifying strategies while considering organizational and company context.
- Adapt and adjust strategies based on learnings and changes in context.
- Utilize industry and customer understanding to identify new investment areas and align across departments to bring ideas to production.
- Independently identify and drive consensus for prioritizing and realizing significant opportunities within the product area.
- Understand the technical space (AI & ranking) and partner with the technical lead to develop scalable solutions.
- Gather and analyze data, user research, and market analysis to inform product decisions and influence the product organization.
- Navigate ambiguous and complex situations with grace and build trust with partner teams.
- Communicate product strategy and progress with clarity to all stakeholders.
- Support the growth of other PMs and team members through mentorship and coaching.
Requirements
- 10+ years of relevant industry experience, with at least 5+ years in Product Management.
- Bachelor's degree (or equivalent) in a STEM subject is ideal but not essential.
- 3+ years of previous industry experience as a product manager in an adTech business or building ad delivery/personalization systems.
- 3+ years of experience demonstrating detailed understanding of auction dynamics through building or developing auction-based systems.
- Experience owning product strategy for fundamental ML products, with proven ability to contribute to technical direction and modeling decisions.
- Deep understanding of the ML development cycle.
- Experience contributing to and driving technical discussions on system design, model performance, or infrastructure trade-offs.
- Demonstrated ability to partner with AI research teams and apply state-of-the-art techniques to ad problems.
- Experience leading cross-functional product teams across a full product line, including crafting strategy, defining requirements, coordinating resources, and driving milestones.
- Demonstrated ability to communicate complex technical work with clarity to a broad audience.
- Specific examples of thought leadership and developing others through mentorship and knowledge sharing.
- Proven ability to drive significant improvements in product performance and team effectiveness.
- Experience analyzing large-scale, complex data sets and using data to inform product decisions.
- Experience adhering to and implementing responsible, ethical AI practices.
- Demonstrated ongoing AI skill development and staying current with emerging AI technologies.
- Demonstrated ability to integrate AI tools to optimize workflows and drive measurable impact.
Skills
- Product Management
- AI & ranking
- Machine Learning
- Data Analysis
- User Research
- Market Analysis
- System Design
- Model Performance
- Infrastructure Trade-offs
- Cross-functional Team Leadership
- Communication
- Mentorship
- Thought Leadership
- Ethical AI Practices
- Prompt/Context Engineering
- Agent Orchestration
Experience Level
- 10+ years of relevant industry experience
- 5+ years in Product Management
- 3+ years in adTech or ad delivery/personalization systems
- 3+ years of auction dynamics experience
Education Level
- 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)
About the Company
- 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.