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Product Manager, AI - Compromised Actors

Meta
Full-time
On-site
London, England, United Kingdom
Manager
The Compromised Actors organization protects users and advertisers when accounts are accessed by unauthorized third parties. Compromised accounts are also weaponized to run scams, spread malicious content, and victimize others across our platforms—creating significant business and user harm. The compromise landscape is complex and constantly evolving. Our human experts can’t be everywhere—so we’re building AI that can. The vision: World-class compromise expertise, accessible at scale through AI. Great work will no longer be bottlenecked by the capacity of human experts. As the PM for AI for Compromise, you’ll own product strategy for adversarial AI at scale—defining how we build, deploy, and evolve ML systems that detect and enforce against compromise across billions of accounts. You’ll also connect scaled AI with expert-augmenting AI to ensure they work as a cohesive system. Meta Product Managers work with cross-functional teams of engineers, designers, data scientists and researchers to build products. We are looking for extremely entrepreneurial Product Managers with Machine Learning expertise who value moving quickly, and can help innovate and coherently drive product initiatives across the company.

Responsibilities

  • Be 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
  • 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
  • Work with a cross-functional team to define a product vision, develop a roadmap and drive progress against goals and milestones and resolve challenges and blockers, whilst improving team health and up-levelling the effectiveness of the team
  • Actively identify opportunities and resolve dependencies by creating shared strategiest across teams in adjacent product areas
  • Gather and analyze user research and market analysis to inform product decisions and influence the wider product organization
  • Influence strategy and progress across partner functions, enhancing collaboration and resolving divergent goals
  • 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


Minimum Qualifications

  • 8+ years product management or related industry experience with domain specific expertise in Machine Learning
  • Experience with leveraging ML/AI to build large scale consumer products
  • Familiarity with embeddings, LLMs, and traditional ML trade-offs, including measurement vs. enforcement use cases
  • Bachelor's degree (or relevant degree equivalent), STEM subject preferred but not essential (Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences)
  • Experience leading cross-functional product team(s) across a full product line: Crafting product vision and strategy, defining product requirements, coordinating resources from other groups (marketing, legal, etc.), and driving the team to achieve key milestones and goals
  • Experience managing a product through the full product lifecycle
  • Proven skills driving step change in the performance of a product and the effectiveness of the team that delivers that product
  • Extensive expertise in analyzing large scale, complex data sets and making effective decisions based on data
  • Experience integrating a wide set of requirements from a broad set of users as well as competitive context into a single coherent product strategy
  • Experience leading and motivating teams and influencing across an organisation
  • Strength in communication, bringing extreme clarity to complex messages
  • Experience identifying and hiring the right talent to build an exceptional cross-functional team


Preferred Qualifications

  • Experience in adversarial domains (ie. security, integrity, fraud, trust & safety)