At a Glance
- Tasks: Lead product development for AI agents, collaborating with engineers and data scientists.
- Company: Join Meta, a leader in innovative technology and AI solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team culture focused on rapid experimentation and continuous learning.
- Why this job: Shape the future of AI and make a real impact on user experiences.
- Qualifications: 8+ years in industry, 3+ years in Product Management, strong communication skills.
The predicted salary is between 75600 - 92400 £ per year.
Meta Product Managers work with cross-functional teams of engineers, solutions architects, data scientists and customer-facing partners to take conversational AI agents from prototype to production at scale.
This is a deeply technical, hands-on role for someone who has already shipped and operated live agentic systems in front of real users, and who can own end-to-end system design, evaluation and hillclimbing while leading AI transformation with our largest partners.
Responsibilities
- 1. Be responsible for leading and driving a complex product area
- 2. defining success, prioritizing problems and identifying the best strategies, considering wider organizational and company context.
- 3. Adapt and adjust your strategies to reflect learnings and changes in context.
- 4. Identify and drive consensus for how to prioritize and realize the most significant opportunities in your product area.
- 5. Identify when to stop as well as when to start investment.
- 6. Critically evaluate when AI is (and isn't) the optimal solution, with sophisticated articulation of tradeoffs, risks, and second-order effects.
- 7. Translate AI capabilities into compelling product visions that create differentiated value.
- 8. Develop and champion AI-native strategies including comprehensive evals and data strategies that enable continuous improvement.
- 9.
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-leveling the effectiveness of the team.
- 10. Actively identify opportunities and resolve dependencies by creating shared strategies across teams in adjacent product areas.
- 11. Reimagine workflows, responsibly using AI tools to dramatically increase team velocity and capability.
- 12. Foster a culture of rapid experimentation and learning across the organization.
- 13. Scale AI best practices (including responsible AI use), workflows, and artifacts across product teams so the org's capability compounds over time.
- 14. Support the growth of other PMs and cross-functional team members by providing mentorship and coaching on AI-native practices.
- 15. Influence strategy and progress across partner functions, enhancing collaboration and resolving divergent goals.
- 16.
Orchestrate complex execution across multiple workstreams by combining AI automation with strategic human oversight-using AI to reduce toil while maintaining high quality and accountability.
- 17. Communicate product strategy and progress with radical clarity to all stakeholders.
- 18. Use AI-enabled tools to build products-independently creating tangible artifacts to prototype, validate, or ship.
- 19. Interpret research and state-of-the-art learnings to design product strategy and apply rigorous logical reasoning.
- 20. Demonstrate deep understanding of system/architecture trade-offs and how they impact user experience and business outcomes
- 21. lead credible technical discussions with engineering partners.
- 22. Gather and analyze user research and market analysis to inform product decisions and influence the wider product organization.
- 23. Design sophisticated experiments and interpret results (leveraging AI to accelerate analysis) and drive concrete product decisions.
- 24. Define and run evaluations to interpret model outputs and adjust execution based on learnings-establishing evaluation as a first-class product practice across teams.
Requirements
- 25. 8+ years of relevant industry experience with at least 3 years in Product Management
- 26.
Demonstrated ability to derive product direction from production system data - deciding what to build next from evals, telemetry and user failure modes rather than from stated requirements
- 27. Demonstrated experience in communication, bringing extreme clarity to complex and technical messages across all audience levels
- 28. Experience leading and motivating teams and influencing across an organization
- 29. Demonstrated proficiency using AI-enabled tools to build product artifacts
- 30. Experience integrating a diverse set of requirements from a broad set of users as well as context into a single coherent product strategy
- 31. Experience identifying and hiring the right talent to build an AI-capable cross-functional team
- 32. Extensive understanding in analyzing large scale, complex data sets and making effective decisions based on data
- 33. Experience with comprehensive AI evals, monitoring and data strategies that enable continuous improvement of deployed AI systems
- 34. Proven experience to drive a step change in the performance of a product and the effectiveness of the team that delivers that product,
- 35. Advanced degree in Computer Science, Machine Learning or a related technical field
- 36. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e. g., efficiency gains, quality improvements)
- 37. Experience adhering to and implementing responsible, ethical AI practices (e. g., risk assessment, bias mitigation, quality and accuracy reviews)
- 38. Demonstrated ongoing AI skill development (e. g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
- 39.
Demonstrated experience deploying and operating conversational AI in a regulated, high-volume or mission-critical customer facing environment - including end-to-end system design and API architecture, tools and protocols drive end-to-end automation
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Product Manager, Agent Enablement in City of Westminster employer: META
Meta is an exceptional employer that fosters a dynamic and innovative work culture, where creativity and collaboration thrive. Located in a vibrant tech hub, employees benefit from extensive growth opportunities, competitive compensation, and a commitment to work-life balance, making it an ideal place for those looking to make a meaningful impact in the advertising landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Product Manager, Agent Enablement in City of Westminster
✨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, Agent Enablement in City of Westminster
Some tips for your application 🫡
Show Off Your Product Passion:When applying for a product management role like Product Manager, Agent Enablement, 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, Agent Enablement 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.
