Product Manager, AI Solutions and Automation (ASA) - GenAI
Menlo Park, CA
Meta
Giving people the power to build community and bring the world closer together
AI is the most dynamic and exciting technological advancement of our lifetime. We are fortunate to be working in this space and contributing to advances in this transformational technology.
Meta invests billions of dollars each year in manual content review to detect policy violations, to provide issue resolution and to improve product quality. Demand in these areas is forecast to increase significantly in the coming years.
With the exponential increase in investment in and capabilities of large AI models, particularly Meta's Llama family of efficient open-source and future SOTA models, we have a powerful enabling technology which may be applied to automate Meta's scaled content review, support and labeling processes.
Meta is creating a new team to focus on improving these processes and to accelerate Meta's applied AI and automation capabilities. This work is not theory or research, but the practical application of AI with aggressive production goals.
We are building automation programs at global scale across several domains including Support, GenAI and RL. Introducing AI will increase efficiency and accuracy of content review and issue resolution while unlocking significant operational savings (measured in billions) over the next several years. Our vision is to make this program a proof point for the practical benefits of applied AI across the industry.
The ideal product manager for this team will work with cross-functional teams of engineers, designers, data scientists and researchers to build products. We are looking for extremely entrepreneurial Product Managers who value moving quickly and are experience ML/AI PMs.Product Manager, AI Solutions and Automation (ASA) - GenAI Responsibilities
$error/year to $error/year + bonus + equity + benefits
We apologize for the inconvenience, please be patient as we work to correct the issue.
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 and Affirmative Action Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com.
Meta invests billions of dollars each year in manual content review to detect policy violations, to provide issue resolution and to improve product quality. Demand in these areas is forecast to increase significantly in the coming years.
With the exponential increase in investment in and capabilities of large AI models, particularly Meta's Llama family of efficient open-source and future SOTA models, we have a powerful enabling technology which may be applied to automate Meta's scaled content review, support and labeling processes.
Meta is creating a new team to focus on improving these processes and to accelerate Meta's applied AI and automation capabilities. This work is not theory or research, but the practical application of AI with aggressive production goals.
We are building automation programs at global scale across several domains including Support, GenAI and RL. Introducing AI will increase efficiency and accuracy of content review and issue resolution while unlocking significant operational savings (measured in billions) over the next several years. Our vision is to make this program a proof point for the practical benefits of applied AI across the industry.
The ideal product manager for this team will work with cross-functional teams of engineers, designers, data scientists and researchers to build products. We are looking for extremely entrepreneurial Product Managers who value moving quickly and are experience ML/AI PMs.Product Manager, AI Solutions and Automation (ASA) - GenAI Responsibilities
- Is the primary driver for identifying significant opportunities, and driving product vision, strategies and roadmaps in the context of broader organizational strategies and goals.
- Understand Meta’s strategic and competitive position and deliver products that are aligned with our mission and recognized best in the industry.
- Maximize efficiency in a constantly evolving environment where the process is fluid and creative solutions are the norm.
- Incorporate data, research, and market analysis to inform product strategies and roadmaps.
- Plan, initiate, and manage information technology projects for web-based products and platforms.
- Lead the ideation, technical development, and launch of innovative tools, platforms, and/or products.
- Drive product development with teams of world-class engineers and designers, while maintaining team health.
- Work closely with cross-functional teams to drive product vision, define product requirements, coordinate resources from other groups (design, legal, etc.), and guide the team through key milestones.
- Integrate usability studies, research, and market analysis into product requirements to improve engineer productivity and enhance user satisfaction.
- Define and analyze metrics that inform the success of products. Identify and track key performance metrics.
- 8+ years product management or related industry experience with domain-specific experience in Machine Learning and AI
- 8+ years of experience working collaboratively with engineering, design and user research teams
- Requires a Bachelor's degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field and 2+ years of experience in the following:
- Experience navigating through the full product life-cycle, integrating customer feedback into product requirements, driving prioritization, and pre/post-launch execution
- Critical thinking/analytical leadership experience
- Experience presenting to senior executive audiences
- Experience in a consumer focused technology company
- Experience building 0-1 products, platform/ecosystem products, or marketplaces
- Experienced Machine Learning/Artificial Intelligence PMs
- Experience in working with / building GenAI Annotation solutions
$error/year to $error/year + bonus + equity + benefits
We apologize for the inconvenience, please be patient as we work to correct the issue.
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 and Affirmative Action Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Tags: Computer Science Engineering Generative AI LLaMA Machine Learning Mathematics Open Source Physics Research VR
Perks/benefits: Career development Competitive pay Equity / stock options Health care Salary bonus
Region:
North America
Country:
United States
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