Location: New York,NY, USA
The AI Partnerships organization at Meta oversees product-defining partnerships in areas where Meta is investing for the long-term. The announcements at Meta's most recent Connect offer a glimpse into what this organization works on, which includes partnerships around Meta's open-source AI models. Strategy & Operations serves as a trusted thought partner to the Partnerships leadership team, helping shape strategic direction and driving operational rigor.
The Strategy & Operations team is looking for an experienced Partnerships Operations Lead to design and implement efficient operational cadences for the AI partnerships organization. In this role, you will be responsible for bringing greater operational rigor to Meta's rapidly growing number of AI model adoption engagements with partners. In doing so, you will help the Partnerships organization efficiently scale its AI model partner deployment efforts.
The ideal candidate will be passionate about the AI products and Llama models Meta is building, has a deep operational background and understanding of Enterprise cloud/software sales processes, a passion for designing and scaling efficient operations, experience working with stakeholders from both business and technical backgrounds, and thrive in a dynamic, fast-paced environment delivering against tight deadlines.Bachelor's degree in business, mathematics, engineering, or other quantitative disciplines. 7+ years of experience in business and/or sales operations. Proven track record of implementing operational process improvement and driving related cross-organizational change management. Distinctive problem solving and quantitative skills, with a focus on driving new projects from idea to execution. Proven communication skills. Product knowledge in AI and/or Enterprise cloud/software. Professional background at a leading management consulting firm and/or in a relevant strategy/operations team, with a focus on operational improvement. Proven track record of implementing and deploying internal software tools and systems as a lever in driving operational efficiency and supporting operational cadences. Knowledge of technical programming languages such as SQL, R, and/or Python to implement and deploy internal software tools and systems. Experience within new or emerging product areas or Enterprise cloud/software sales.