Scaled Ops Program Manager - GenAI Vendor Strategy

We are seeking an experienced and strategic Scaled Operations Program Manager to support our GenAI and Product Data Operations partners. As a key member of the Scaled Operations GenAI team, you will be responsible for executing on a comprehensive vendor strategy that delivers on product and engineering’s cost, quality and speed requirements.

Scaled Ops Program Manager - GenAI Vendor Strategy Responsibilities:

• Execute on the GenAI vendor strategy that aligns with our GenAI goals and objectives
• Identify, evaluate, and select vendors that can provide high-quality GenAI LLM annotation services in collaboration with internal stakeholders
• Partner with Sourcing to negotiate and manage vendor contracts, that appropriately incentivise desired vendor performance and comply with company policies and procedures
• Collaborate with internal stakeholders to understand business requirements and develop vendor solutions that meet those needs
• Work closely with Vendor Operations delivery teams to ensure accurate performance signals to inform strategy and foot print changes
• Develop and implement processes and tools to support vendor management, including performance metrics and reporting
• Stay up to date on industry trends and emerging technologies
  
  

Minimum Qualifications:

• 10+ years of experience in vendor management, operations, or a related field
• Proven track record of developing and executing successful vendor strategies
• Understanding of GenAI technologies and their applications
• Proven negotiation, communication, and interpersonal skills
• Experience strategically, making data-driven decisions that drive business outcomes
• Analytical and problem-solving skills to interpret complex data sets
• Experience working in a fast-paced, dynamic environment, with changing priorities
• Bachelor's degree in Business Administration, Computer Science, a related field, or equivalent experience
  
  

Preferred Qualifications:

• Bachelor’s and Master’s degrees in Business Administration, Computer Science, a related field, or equivalent experience
• 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
• Knowledge of industry-standard tools and technologies for data annotation and model development
• Experience working in a startup or other dynamic, high-growth company
  
  

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 $242,000/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.