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
✨Join Product Management Meetups
Get involved in local product management meetups or workshops. These events are perfect for meeting industry folks, sharing ideas, and staying updated on trends. Plus, you never know who might be hiring—it's a fantastic way to make connections that could lead to a job at places like Meta!
✨Show Off Your Product Sense
Create case studies or mini-projects showcasing your product management skills, and share them on platforms like Medium or LinkedIn. This not only puts your skills on display but also boosts your visibility in the product community. Imagine how impressed the hiring team at Meta would be by your initiative!
✨Utilise Online Communities
Dive into online product management communities like Product Coalition or Mind the Product. Engage in discussions, ask questions, and share your insights. These platforms are goldmines for networking and finding hidden job opportunities—many companies often scout talent from within these circles.
✨Leverage Your University Network
If you’ve recently graduated or are still in uni, tap into your alumni network for connections in product management. Many universities have their own job boards and affinity resources to help graduates land roles. Don't forget to keep an eye out for job openings at Meta through your school's career services!
We think you need these skills to ace Product Manager, AI - Compromised Actors in London
Some tips for your application 🫡
Show Off Your Product Passion:When applying for a product management role like Product Manager, AI - Compromised Actors, let your passion for developing products shine through in your cover letter. Share specific examples of products you've managed, how you solved user needs, and any successful outcomes you've achieved. This is your chance to showcase your understanding of the product lifecycle!
Highlight Your Cross-Functional Skills:Product management isn't just about understanding the product; it’s about collaborating with different teams! Make sure to emphasise your experience working with developers, designers, and marketers. Use your CV to showcase your ability to bridge gaps between these areas, and include relevant experiences that demonstrate your communication and leadership skills!
Include Your Metrics and Achievements:In a full-time product management application, data speaks volumes! Quantify your achievements wherever possible. Did you increase user retention by a certain percentage? Launch a product ahead of schedule? Include these metrics in your CV to paint a picture of your impact and effectiveness in previous roles.
Tailor Your CV to the Role:Make sure your CV is tailored for the Product Manager, AI - Compromised Actors position at Meta. Use keywords from the job description and ensure your relevant experiences are front and centre. Highlight any certifications or relevant training you’ve completed that will make you stand out as a strong candidate for the role. And remember, we’re excited to see your application on our website!
How to prepare for a job interview at Meta
✨Understand the Product Life Cycle
As a product management candidate, we need to get our head around the complete product life cycle. Be prepared to discuss real-world examples of how you’ve managed product development from ideation to launch. Bring specific insights on tools like JIRA or Trello that can help streamline these processes.
✨Showcase Your Cross-Functional Skills
Product management is all about collaboration. We should be ready to highlight how we’ve worked across teams—think marketing, engineering, and design. Prepare to discuss scenarios where you had to mediate differing opinions and how you got everyone on board with a shared vision.
✨Prepare for Case Studies
In a full-time role, we can expect to encounter case study questions during our interviews. Practise solving hypothetical product problems on the spot, such as prioritising features for a new app or improving user engagement metrics. This will show our analytical thinking and decision-making skills.
✨Know Your Metrics
Let’s face it, numbers are our best friends in product management. We should prepare to discuss key performance indicators (KPIs) and how we've used analytics to inform product decisions. Dive into examples where data has driven our strategy for improvements or justified product changes.
