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 Retail expertise who value moving quickly, and can help innovate and coherently drive product initiatives across the company. Looking for someone to join our growing team who has product management and business operations/administration expertise. This role will be instrumental in ensuring Microstore and Kiosk initiatives are delivered in a timely manner and with all relevant stakeholder input, identifying gaps and opportunities for process improvement, implementing scalable solutions, and guiding data-driven leadership decisions.
Product Manager - Retail Responsibilities
- Accountable for driving the vision and execution of the AI vending platform across three core areas: strategy, delivery, and stakeholder alignment
- Define and maintain a clear product roadmap that aligns with Meta's retail objectives
- Create a prioritization framework that governs what gets built, when, and why
- Working in close partnership with engineering, data science, UX, and hardware teams, you will translate strategic priorities into well-defined requirements, user stories, and acceptance criteria
- You will establish and monitor key product metrics — including conversion rates, inventory turnover, customer dwell time, and machine uptime — and use these signals to guide iterative improvements. You will design and analyze A/B experiments, collaborate with the data science team on model performance reviews, and champion a environment of evidence-based decision-making across the product organization
- You will partner with marketing, sales, and operations to develop go-to-market strategies for new product launches and feature releases
- Maximize efficiency in a constantly evolving environment where the process is fluid and creative solutions are the norm
Minimum Qualifications
- Bachelor’s degree (or equivalent) in any field. Degrees in STEM subjects (such as Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, or Applied Sciences) are ideal but not required. Equivalent years of relevant work experience may be considered in place of a degree
- Understand Meta’s strategic and competitive position and deliver products that are aligned with our mission and recognized best in the industry
- Demonstrated experience in leadership, organizational and execution skills
- Experience with leading and motivating a team of engineers and other cross-functional representatives, and maintains team health
- Experience defining vision and strategy
Preferred Qualifications
- Experience with leveraging ML/AI to build large scale retail products
- Experience going through a full product lifecycle, integrating customer feedback into product requirements, driving prioritization and pre/post-launch execution
- Experience recruiting and leading a cross-functional team of world-class individuals
- Enthusiastic and resilient in a constantly evolving environment where the process is fluid and creative solutions are the norm
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
About Meta
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.
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$146,000/year to $204,000/year + bonus + equity + benefits
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.
Equal Employment Opportunity
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