Location
London

Hours
Full Time

Salary
Negotiable

About the Role
The Core Ads Quality team ensures 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, maintaining high-quality connections requires complex machine learning operating at a huge scale. We are seeking an experienced product leader comfortable both diving into model calibration and managing cross-organizational projects with stakeholders under tight timelines. This role supports deeply technical teams by defining goals and driving execution across teams. You will lead and drive a complex product area by defining success, prioritizing problems, and identifying the best strategies while considering the wider organizational and company context. You will adapt and adjust strategies based on learnings and changes in context, use your industry and customer understanding to identify new investment areas, and align across departments to bring ideas to production. You will independently identify and drive consensus on prioritizing and realizing the most significant opportunities, knowing when to start and stop investments. Understanding the technical space (AI & ranking) and partnering with technical leads to develop scalable solutions is essential. You will gather and analyze internal data, user research, and market analysis to inform product decisions and influence the wider product organization. Navigating highly ambiguous and complex situations with grace, building trust with partner teams, and communicating product strategy and progress with radical clarity to all stakeholders are key responsibilities. Additionally, you will support the growth of other PMs and cross-functional team members through mentorship and coaching.

Experience
- 10+ years of relevant industry experience with at least 5+ years in Product Management
- 3+ years of product management experience in an adTech business or building ad delivery or personalization systems in media or similar businesses
- Detailed understanding of auction dynamics with 3+ years building or significantly developing auction-based systems
- Experience owning product strategy for fundamental ML products and contributing 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 ads problems
- Experience leading cross-functional product teams across a full product line, including crafting product mission and strategy, defining requirements, coordinating resources, and driving key milestones
- Proven ability to communicate complex and technical work clearly to senior management, technical partners, and customers
- Demonstrated thought leadership and experience mentoring and supporting team members
- Proven ability to drive significant improvements in product performance and team effectiveness
- Experience analyzing large-scale, complex data sets to inform product decisions
- Experience adhering to and implementing responsible, ethical AI practices such as risk assessment, bias mitigation, and quality reviews
- Ongoing AI skill development and staying current with emerging AI technologies
- Experience integrating AI tools to optimize workflows and drive measurable impact

About you
You are a strategic and technical product leader who thrives in ambiguous and complex environments. You possess strong communication skills with the ability to bring clarity to complex topics for diverse audiences. You are collaborative, able to build trust across teams, and passionate about mentoring and developing others. You have a deep understanding of AI, machine learning, and adTech systems, and you are motivated to drive innovation and high-quality product outcomes.

Qualifications
- Bachelor's degree or equivalent, preferably in a STEM subject such as Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, or Applied Sciences