At a Glance
- Tasks: Lead AI product strategy to combat account compromise and enhance user safety.
- Company: Join Meta, a leader in innovative technology and social connection.
- Benefits: Competitive salary, comprehensive benefits, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on mentorship and career advancement.
- Why this job: Make a real impact by developing AI solutions that protect users globally.
- Qualifications: 8+ years in product management with expertise in Machine Learning.
The predicted salary is between 48000 - 72000 € per year.
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.
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 strategies 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).
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Product Manager, AI - Compromised Actors in London employer: Meta
Meta is an exceptional employer that fosters a dynamic and innovative work culture, particularly for the role of Product Manager in AI for Compromised Actors. With a strong emphasis on employee growth, Meta provides opportunities to lead cutting-edge projects that protect users and advertisers while leveraging advanced machine learning technologies. The collaborative environment encourages cross-functional teamwork, ensuring that employees can thrive and make a meaningful impact in a rapidly evolving landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Product Manager, AI - Compromised Actors in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Meta. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Prepare for interviews by diving deep into AI and product management trends. Show us you’re not just a candidate but a thought leader who’s ready to tackle the challenges of compromised accounts.
✨Tip Number 3
Practice your storytelling skills. When discussing your experience, frame it in a way that highlights your impact on product strategy and team collaboration. We love hearing about real-world results!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, it shows you’re serious about joining our mission.
We think you need these skills to ace Product Manager, AI - Compromised Actors in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Product Manager role. Highlight your experience with Machine Learning and how it relates to the responsibilities outlined in the job description. We want to see how you can bring your unique skills to our team!
Showcase Your Achievements:Don’t just list your past roles; showcase your achievements! Use specific examples of how you've driven product strategy or improved team performance. We love seeing quantifiable results that demonstrate your impact.
Be Clear and Concise:When writing your application, clarity is key. Use straightforward language and avoid jargon where possible. We appreciate a well-structured application that communicates your ideas effectively—just like we aim to do at StudySmarter!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our mission to innovate in the AI space!
How to prepare for a job interview at Meta
✨Know Your AI Stuff
Make sure you brush up on your machine learning knowledge, especially around embeddings and LLMs. Be ready to discuss how you've leveraged AI in past projects and how it can be applied to combat compromised accounts.
✨Show Your Strategic Side
Prepare to talk about how you define product strategy and prioritize problems. Think of examples where you've adapted strategies based on learnings and how you’ve driven consensus across teams to tackle significant opportunities.
✨Communicate Clearly
Practice articulating complex ideas in a simple way. You’ll need to convey product vision and progress with radical clarity, so think about how you can break down your experiences into digestible insights for stakeholders.
✨Team Player Vibes
Highlight your experience working with cross-functional teams. Be ready to share how you've motivated teams, resolved challenges, and improved team health while driving towards key milestones. Collaboration is key!
