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.

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.

For those who live in or expect to work from California if hired for this position, please click here for additional information.

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.

$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.

Equal Employment Opportunity

Meta is proud to be an Equal Employment Opportunity 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 accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

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Product Manager, AI Solutions and Automation (ASA) - GenAI

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