AI Solutions Manager

AI Solutions Manager

AI Solutions Managers (ASMs) play a critical role in driving Global Operations' AI strategy. They set the strategy for how AI will transform our operationsboth in our workflows and throughout our workforceand leverage their domain expertise, executive communications and program management skills to implement and scale solutions to drive top-line key performance indicators. They work cross-functionally across a complex set of executive stakeholders, including Operations, Engineering, Research, Data and Legal and Compliance to accelerate progress. ASMs help to shape our understanding of how AI and human operations are evolving and design novel new approaches that will drive impact for Operations in the years to come.

AI Solutions Manager Responsibilities

Maintain an in-depth understanding of the broad AI landscape and LLM development requirements

Demonstrate an understanding of supported domains, scope measurement methodology, and conduct analysis of the problem space to inform strategy

Work with Operations teams to identify scalable AI solutions and process improvements that deliver on Global Ops key performance indicators including efficiency and effectiveness

Manage multiple product and operational priority programs using Agile best practices

Build effective cross-functional relationships with other teams, including product, engineering, data, legal and research scientists, to ensure seamless collaboration and alignment

Provide regular updates and reporting to executive leadership on the progress and performance of solutions and operations

Deliver large scale AI-enabled operations with a very high degree of focus on quality and precision in a very dynamic and evolving technical space

Contribute to a work environment of ownership and care

Minimum Qualifications

12+ years of experience in operations, strategy or consulting experience

3+ years of experience in annotation for ML / AI model development and / or large language model development. Understanding of the model development process and its importance in developing accurate and effective ML / AI models

Experience and domain expertise in Augmented Reality / Virtual Reality, Legal and Compliance, Trust & Safety or Support

Experience working in a deadline-driven and agile environment

Experience collaborating, influencing and driving decision making with cross-functional leaders of all levels

Experience building and managing a team of industry-leading professionals

Experience problem solving and making decisions without all necessary information and data

Bachelor's degree in a relevant field (e.g. business, finance, computer science, engineering, mathematics, economics)

Preferred Qualifications

Master's degree in a relevant field (e.g. business, finance, computer science, engineering, mathematics, economics)

Experience working with large datasets and ML / AI implementation

Experience launching 0 to 1 initiatives collaborating closely with cross-functional teams including working with research scientists and engineering team leaders

Knowledge of industry-standard tools and technologies for data annotation and model development

Experience working in a startup or other type of high-growth company

$186,000 / year to $253,000 / 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.

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