Job Information
Meta Scaled Ops Program Manager - GenAI Vendor Strategy in Topeka, Kansas
Summary:
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.
Required Skills:
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
Negotiate and manage vendor contracts, that appropriately incentivize 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
Develop and maintain relationships with vendors, ensuring effective communication and issue resolution
Monitor vendor performance, identifying areas for improvement and implementing corrective actions as needed
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:
Minimum Qualifications:
10+ years of experience in vendor management, operations, or a related field
Proven track record of developing and executing successful vendor strategies
Knowledge of GenAI technologies and their applications
Negotiation, communication, and interpersonal skills
Proven experience thinking strategically, making data-driven decisions that drive business outcomes
Analytical and problem-solving skills while interpreting complex data sets
Proven experience working in a fast-paced, dynamic environment and adapting to changing priorities
Bachelor's degree in Business Administration, Computer Science, a related field, or equivalent experience
Preferred Qualifications:
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
Public Compensation:
$171,000/year to $242,000/year + bonus + equity + benefits
Industry: Internet
Equal Opportunity:
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.