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Product Manager, Manus Responsibilities:
- Define core product requirements and milestones based on real user needs and use cases.
- Translate LLM / Agent capabilities into reliable, scalable, and user-ready product features.
- Own the end-to-end product development process, from PRDs and reviews to launch and iteration.
- Continuously improve the usability, clarity, and reliability of the AI Agent through data and user feedback.
- Design and run product-led experiments, including A/B tests on onboarding, features, messaging, and pricing.
- Use data and insights to continuously improve user experience and growth outcomes.
- Package complex AI capabilities into intuitive, high-perceived-value user experiences.
- Responsible for leading a product area
- defining success metrics, prioritizing product problems and identifying the best strategies for the product, aligned with the organizational goals. Adapt and adjust your strategy to reflect learnings and changes in the product.
- Work with a cross-functional team to define a product, develop a roadmap and drive progress against goals and milestones and resolve challenges and blockers, while maintaining team health.
- Gather and analyze user research and market analysis to inform product decisions and influence the wider product organization.
- Coordinate proactively across partner functions for product success. Structure shared roadmaps for best outcomes.
- Communicate product strategy and progress with clarity to all stakeholders.
- Provide mentorship and coaching to other PMs and cross-functional team members where appropriate.
- Lead and participate in technical syncs with Mandarin-speaking teams, translate and review technical specifications to ensure alignment across partners.
- Bachelor's degree (or relevant degree equivalent): STEM subject ideal but not essential (Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences)
- 4+ years of Product Management experience, ideally with 0–1 products or complex systems
- Strong understanding of AI / LLM / Agent workflows, able to collaborate deeply with engineers
- Proven ability to turn user behavior insights into concrete product improvements
- Strong interest in lowering the learning curve and adoption barrier of AI products
- Experience managing a product through multiple product life cycle phases
- Demonstrated experience to analyze large scale, complex data sets and making effective decisions based on data
- Experience integrating a diverse set of requirements from a broad set of users as well as context into a single coherent product strategy
- Demonstrated experience in communication, bringing extreme clarity to complex messages
- Proficiency in Mandarin (spoken and written) is preferred to conduct daily meetings with Mandarin-speaking colleagues/vendors, and to review technical specifications in Mandarin
- Technical or engineering background
- Excellent product sense with a high bar for UX and design quality
- Structured thinker with a passion for turning AI into real, usable products
- Strong data intuition with hands-on experience running experiments and analyzing funnels
- Experience working with a cross-functional product team on a significant product area: 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
- Proven experience to drive a material change in the performance of a product and the effectiveness of the team that delivers that product
- Experience leading and motivating a product team and collaborating with partner teams
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. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
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.
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