Meta is at the forefront of developing and deploying large language models, including our Llama family of efficient open-source and future SOTA models. As we continue to advance in this space, we're creating new opportunities to apply these technologies to automate and improve various processes across the company.One key area of focus is the development of annotation solutions for our GenAI models. With the increasing demand for high-quality training data, we need to build scalable and efficient annotation products that can keep up with the pace of innovation. This is where you come in – as a Product Manager for AI Solutions and Automation (ASA) - GenAI, you'll play a critical role in defining and delivering annotation products that meet the needs of our GenAI teams, driving business value and accelerating the development of our AI capabilities.You will be responsible for leading the product vision, strategy, and roadmap for our annotation products, working closely with cross-functional teams to ensure that our products are effective, and scalable. You will also collaborate with stakeholders across the company to understand their annotation needs and develop products that meet those needs.
Product Manager, AI Solutions and Automation (ASA) - GenAI Responsibilities:
- Define and deliver annotation products that meet the needs of our GenAI teams, driving business value and accelerating the development of our AI capabilities.
- Lead the product vision, strategy, and roadmap for our annotation products, working closely with cross-functional teams to ensure that our products are effective, and scalable.
- Collaborate with stakeholders across the company to understand their annotation needs and develop products that meet those needs.
- Analyze market trends and competitor activity to identify opportunities for differentiation and growth.
- Develop and maintain relationships with key stakeholders, including customers, partners, and internal teams.
Minimum Qualifications:
- 8+ years of 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 executive audiences.
- Background in data curation or related fields
- Technical experience in AI and machine learning concepts, tools, and practices
- Experience with analyzing data sets and identify trends and anomalies
- Demonstrated experience working independently while contributing to team goals
Preferred Qualifications:
- Experience building 0-1 products, platform/ecosystem products, or marketplaces.
- Experienced Machine Learning/Artificial Intelligence PMs.
- Experience in working with/building GenAI Annotation solutions.
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.
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, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
$171,000/year to $238,000/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.
